Creating Bag-Of-Features.
-------------------------
* Extracting features using a custom feature extraction function: helperORBFeatureExtractorFunction.
* Extracting features from 58 images...done. Extracted 58000 features.
* Keeping 80 percent of the strongest features from each category.
* Creating a 1000 word visual vocabulary.
* Number of levels: 3
* Branching factor: 10
* Number of clustering steps: 111
* [Step 1/111] Clustering vocabulary level 1.
* Number of features : 46400
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 18/100 iterations (~0.07 seconds/iteration)...converged in 18 iterations.
* [Step 2/111] Clustering vocabulary level 2, branch 1.
* Number of features : 3626
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 22/100 iterations (~0.01 seconds/iteration)...converged in 22 iterations.
* [Step 3/111] Clustering vocabulary level 3, branch 1.
* Number of features : 355
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 20/100 iterations (~0.00 seconds/iteration)...converged in 20 iterations.
* [Step 4/111] Clustering vocabulary level 3, branch 2.
* Number of features : 430
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 21/100 iterations (~0.00 seconds/iteration)...converged in 21 iterations.
* [Step 5/111] Clustering vocabulary level 3, branch 3.
* Number of features : 328
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 16/100 iterations (~0.00 seconds/iteration)...converged in 16 iterations.
* [Step 6/111] Clustering vocabulary level 3, branch 4.
* Number of features : 394
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 23/100 iterations (~0.00 seconds/iteration)...converged in 23 iterations.
* [Step 7/111] Clustering vocabulary level 3, branch 5.
* Number of features : 354
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 15/100 iterations (~0.00 seconds/iteration)...converged in 15 iterations.
* [Step 8/111] Clustering vocabulary level 3, branch 6.
* Number of features : 319
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 18/100 iterations (~0.00 seconds/iteration)...converged in 18 iterations.
* [Step 9/111] Clustering vocabulary level 3, branch 7.
* Number of features : 299
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 14/100 iterations (~0.00 seconds/iteration)...converged in 14 iterations.
* [Step 10/111] Clustering vocabulary level 3, branch 8.
* Number of features : 383
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 16/100 iterations (~0.00 seconds/iteration)...converged in 16 iterations.
* [Step 11/111] Clustering vocabulary level 3, branch 9.
* Number of features : 397
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 12/100 iterations (~0.00 seconds/iteration)...converged in 12 iterations.
* [Step 12/111] Clustering vocabulary level 3, branch 10.
* Number of features : 367
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 15/100 iterations (~0.00 seconds/iteration)...converged in 15 iterations.
* [Step 13/111] Clustering vocabulary level 2, branch 2.
* Number of features : 5820
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 11/100 iterations (~0.01 seconds/iteration)...converged in 11 iterations.
* [Step 14/111] Clustering vocabulary level 3, branch 1.
* Number of features : 790
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 22/100 iterations (~0.00 seconds/iteration)...converged in 22 iterations.
* [Step 15/111] Clustering vocabulary level 3, branch 2.
* Number of features : 685
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 24/100 iterations (~0.00 seconds/iteration)...converged in 24 iterations.
* [Step 16/111] Clustering vocabulary level 3, branch 3.
* Number of features : 648
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 14/100 iterations (~0.00 seconds/iteration)...converged in 14 iterations.
* [Step 17/111] Clustering vocabulary level 3, branch 4.
* Number of features : 494
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 24/100 iterations (~0.00 seconds/iteration)...converged in 24 iterations.
* [Step 18/111] Clustering vocabulary level 3, branch 5.
* Number of features : 758
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 11/100 iterations (~0.00 seconds/iteration)...converged in 11 iterations.
* [Step 19/111] Clustering vocabulary level 3, branch 6.
* Number of features : 366
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 14/100 iterations (~0.00 seconds/iteration)...converged in 14 iterations.
* [Step 20/111] Clustering vocabulary level 3, branch 7.
* Number of features : 570
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 14/100 iterations (~0.00 seconds/iteration)...converged in 14 iterations.
* [Step 21/111] Clustering vocabulary level 3, branch 8.
* Number of features : 453
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 12/100 iterations (~0.00 seconds/iteration)...converged in 12 iterations.
* [Step 22/111] Clustering vocabulary level 3, branch 9.
* Number of features : 550
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 20/100 iterations (~0.00 seconds/iteration)...converged in 20 iterations.
* [Step 23/111] Clustering vocabulary level 3, branch 10.
* Number of features : 506
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 19/100 iterations (~0.00 seconds/iteration)...converged in 19 iterations.
* [Step 24/111] Clustering vocabulary level 2, branch 3.
* Number of features : 5573
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 15/100 iterations (~0.01 seconds/iteration)...converged in 15 iterations.
* [Step 25/111] Clustering vocabulary level 3, branch 1.
* Number of features : 524
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 21/100 iterations (~0.00 seconds/iteration)...converged in 21 iterations.
* [Step 26/111] Clustering vocabulary level 3, branch 2.
* Number of features : 650
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 28/100 iterations (~0.00 seconds/iteration)...converged in 28 iterations.
* [Step 27/111] Clustering vocabulary level 3, branch 3.
* Number of features : 671
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 18/100 iterations (~0.00 seconds/iteration)...converged in 18 iterations.
* [Step 28/111] Clustering vocabulary level 3, branch 4.
* Number of features : 734
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 14/100 iterations (~0.00 seconds/iteration)...converged in 14 iterations.
* [Step 29/111] Clustering vocabulary level 3, branch 5.
* Number of features : 437
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 15/100 iterations (~0.01 seconds/iteration)...converged in 15 iterations.
* [Step 30/111] Clustering vocabulary level 3, branch 6.
* Number of features : 811
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 13/100 iterations (~0.00 seconds/iteration)...converged in 13 iterations.
* [Step 31/111] Clustering vocabulary level 3, branch 7.
* Number of features : 560
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 15/100 iterations (~0.00 seconds/iteration)...converged in 15 iterations.
* [Step 32/111] Clustering vocabulary level 3, branch 8.
* Number of features : 320
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 24/100 iterations (~0.00 seconds/iteration)...converged in 24 iterations.
* [Step 33/111] Clustering vocabulary level 3, branch 9.
* Number of features : 541
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 10/100 iterations (~0.00 seconds/iteration)...converged in 10 iterations.
* [Step 34/111] Clustering vocabulary level 3, branch 10.
* Number of features : 325
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 10/100 iterations (~0.00 seconds/iteration)...converged in 10 iterations.
* [Step 35/111] Clustering vocabulary level 2, branch 4.
* Number of features : 5784
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 13/100 iterations (~0.02 seconds/iteration)...converged in 13 iterations.
* [Step 36/111] Clustering vocabulary level 3, branch 1.
* Number of features : 762
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 24/100 iterations (~0.00 seconds/iteration)...converged in 24 iterations.
* [Step 37/111] Clustering vocabulary level 3, branch 2.
* Number of features : 582
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 16/100 iterations (~0.00 seconds/iteration)...converged in 16 iterations.
* [Step 38/111] Clustering vocabulary level 3, branch 3.
* Number of features : 582
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 11/100 iterations (~0.00 seconds/iteration)...converged in 11 iterations.
* [Step 39/111] Clustering vocabulary level 3, branch 4.
* Number of features : 665
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 13/100 iterations (~0.00 seconds/iteration)...converged in 13 iterations.
* [Step 40/111] Clustering vocabulary level 3, branch 5.
* Number of features : 642
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 29/100 iterations (~0.00 seconds/iteration)...converged in 29 iterations.
* [Step 41/111] Clustering vocabulary level 3, branch 6.
* Number of features : 483
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 20/100 iterations (~0.00 seconds/iteration)...converged in 20 iterations.
* [Step 42/111] Clustering vocabulary level 3, branch 7.
* Number of features : 551
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 21/100 iterations (~0.00 seconds/iteration)...converged in 21 iterations.
* [Step 43/111] Clustering vocabulary level 3, branch 8.
* Number of features : 474
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 22/100 iterations (~0.00 seconds/iteration)...converged in 22 iterations.
* [Step 44/111] Clustering vocabulary level 3, branch 9.
* Number of features : 714
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 26/100 iterations (~0.00 seconds/iteration)...converged in 26 iterations.
* [Step 45/111] Clustering vocabulary level 3, branch 10.
* Number of features : 329
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 11/100 iterations (~0.00 seconds/iteration)...converged in 11 iterations.
* [Step 46/111] Clustering vocabulary level 2, branch 5.
* Number of features : 4156
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 19/100 iterations (~0.01 seconds/iteration)...converged in 19 iterations.
* [Step 47/111] Clustering vocabulary level 3, branch 1.
* Number of features : 514
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 12/100 iterations (~0.00 seconds/iteration)...converged in 12 iterations.
* [Step 48/111] Clustering vocabulary level 3, branch 2.
* Number of features : 375
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 17/100 iterations (~0.00 seconds/iteration)...converged in 17 iterations.
* [Step 49/111] Clustering vocabulary level 3, branch 3.
* Number of features : 467
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 13/100 iterations (~0.00 seconds/iteration)...converged in 13 iterations.
* [Step 50/111] Clustering vocabulary level 3, branch 4.
* Number of features : 467
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 18/100 iterations (~0.00 seconds/iteration)...converged in 18 iterations.
* [Step 51/111] Clustering vocabulary level 3, branch 5.
* Number of features : 408
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 16/100 iterations (~0.00 seconds/iteration)...converged in 16 iterations.
* [Step 52/111] Clustering vocabulary level 3, branch 6.
* Number of features : 333
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 13/100 iterations (~0.00 seconds/iteration)...converged in 13 iterations.
* [Step 53/111] Clustering vocabulary level 3, branch 7.
* Number of features : 367
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 12/100 iterations (~0.00 seconds/iteration)...converged in 12 iterations.
* [Step 54/111] Clustering vocabulary level 3, branch 8.
* Number of features : 531
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 16/100 iterations (~0.00 seconds/iteration)...converged in 16 iterations.
* [Step 55/111] Clustering vocabulary level 3, branch 9.
* Number of features : 298
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 18/100 iterations (~0.00 seconds/iteration)...converged in 18 iterations.
* [Step 56/111] Clustering vocabulary level 3, branch 10.
* Number of features : 396
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 12/100 iterations (~0.01 seconds/iteration)...converged in 12 iterations.
* [Step 57/111] Clustering vocabulary level 2, branch 6.
* Number of features : 3856
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 13/100 iterations (~0.01 seconds/iteration)...converged in 13 iterations.
* [Step 58/111] Clustering vocabulary level 3, branch 1.
* Number of features : 508
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 12/100 iterations (~0.00 seconds/iteration)...converged in 12 iterations.
* [Step 59/111] Clustering vocabulary level 3, branch 2.
* Number of features : 346
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 15/100 iterations (~0.01 seconds/iteration)...converged in 15 iterations.
* [Step 60/111] Clustering vocabulary level 3, branch 3.
* Number of features : 263
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 9/100 iterations (~0.00 seconds/iteration)...converged in 9 iterations.
* [Step 61/111] Clustering vocabulary level 3, branch 4.
* Number of features : 414
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 21/100 iterations (~0.00 seconds/iteration)...converged in 21 iterations.
* [Step 62/111] Clustering vocabulary level 3, branch 5.
* Number of features : 398
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 17/100 iterations (~0.00 seconds/iteration)...converged in 17 iterations.
* [Step 63/111] Clustering vocabulary level 3, branch 6.
* Number of features : 423
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 24/100 iterations (~0.00 seconds/iteration)...converged in 24 iterations.
* [Step 64/111] Clustering vocabulary level 3, branch 7.
* Number of features : 413
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 16/100 iterations (~0.00 seconds/iteration)...converged in 16 iterations.
* [Step 65/111] Clustering vocabulary level 3, branch 8.
* Number of features : 357
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 15/100 iterations (~0.00 seconds/iteration)...converged in 15 iterations.
* [Step 66/111] Clustering vocabulary level 3, branch 9.
* Number of features : 282
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 12/100 iterations (~0.00 seconds/iteration)...converged in 12 iterations.
* [Step 67/111] Clustering vocabulary level 3, branch 10.
* Number of features : 452
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 13/100 iterations (~0.00 seconds/iteration)...converged in 13 iterations.
* [Step 68/111] Clustering vocabulary level 2, branch 7.
* Number of features : 4107
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 15/100 iterations (~0.01 seconds/iteration)...converged in 15 iterations.
* [Step 69/111] Clustering vocabulary level 3, branch 1.
* Number of features : 418
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 13/100 iterations (~0.00 seconds/iteration)...converged in 13 iterations.
* [Step 70/111] Clustering vocabulary level 3, branch 2.
* Number of features : 382
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 13/100 iterations (~0.00 seconds/iteration)...converged in 13 iterations.
* [Step 71/111] Clustering vocabulary level 3, branch 3.
* Number of features : 411
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 7/100 iterations (~0.00 seconds/iteration)...converged in 7 iterations.
* [Step 72/111] Clustering vocabulary level 3, branch 4.
* Number of features : 373
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 13/100 iterations (~0.00 seconds/iteration)...converged in 13 iterations.
* [Step 73/111] Clustering vocabulary level 3, branch 5.
* Number of features : 538
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 12/100 iterations (~0.00 seconds/iteration)...converged in 12 iterations.
* [Step 74/111] Clustering vocabulary level 3, branch 6.
* Number of features : 421
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 21/100 iterations (~0.00 seconds/iteration)...converged in 21 iterations.
* [Step 75/111] Clustering vocabulary level 3, branch 7.
* Number of features : 421
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 13/100 iterations (~0.00 seconds/iteration)...converged in 13 iterations.
* [Step 76/111] Clustering vocabulary level 3, branch 8.
* Number of features : 389
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 15/100 iterations (~0.00 seconds/iteration)...converged in 15 iterations.
* [Step 77/111] Clustering vocabulary level 3, branch 9.
* Number of features : 323
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 29/100 iterations (~0.00 seconds/iteration)...converged in 29 iterations.
* [Step 78/111] Clustering vocabulary level 3, branch 10.
* Number of features : 431
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 20/100 iterations (~0.00 seconds/iteration)...converged in 20 iterations.
* [Step 79/111] Clustering vocabulary level 2, branch 8.
* Number of features : 5378
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 22/100 iterations (~0.01 seconds/iteration)...converged in 22 iterations.
* [Step 80/111] Clustering vocabulary level 3, branch 1.
* Number of features : 514
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 18/100 iterations (~0.00 seconds/iteration)...converged in 18 iterations.
* [Step 81/111] Clustering vocabulary level 3, branch 2.
* Number of features : 793
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 17/100 iterations (~0.00 seconds/iteration)...converged in 17 iterations.
* [Step 82/111] Clustering vocabulary level 3, branch 3.
* Number of features : 369
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 10/100 iterations (~0.01 seconds/iteration)...converged in 10 iterations.
* [Step 83/111] Clustering vocabulary level 3, branch 4.
* Number of features : 590
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 22/100 iterations (~0.00 seconds/iteration)...converged in 22 iterations.
* [Step 84/111] Clustering vocabulary level 3, branch 5.
* Number of features : 356
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 9/100 iterations (~0.00 seconds/iteration)...converged in 9 iterations.
* [Step 85/111] Clustering vocabulary level 3, branch 6.
* Number of features : 304
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 24/100 iterations (~0.00 seconds/iteration)...converged in 24 iterations.
* [Step 86/111] Clustering vocabulary level 3, branch 7.
* Number of features : 609
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 13/100 iterations (~0.00 seconds/iteration)...converged in 13 iterations.
* [Step 87/111] Clustering vocabulary level 3, branch 8.
* Number of features : 816
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 14/100 iterations (~0.00 seconds/iteration)...converged in 14 iterations.
* [Step 88/111] Clustering vocabulary level 3, branch 9.
* Number of features : 587
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 15/100 iterations (~0.00 seconds/iteration)...converged in 15 iterations.
* [Step 89/111] Clustering vocabulary level 3, branch 10.
* Number of features : 440
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 10/100 iterations (~0.00 seconds/iteration)...converged in 10 iterations.
* [Step 90/111] Clustering vocabulary level 2, branch 9.
* Number of features : 3742
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 26/100 iterations (~0.01 seconds/iteration)...converged in 26 iterations.
* [Step 91/111] Clustering vocabulary level 3, branch 1.
* Number of features : 391
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 20/100 iterations (~0.00 seconds/iteration)...converged in 20 iterations.
* [Step 92/111] Clustering vocabulary level 3, branch 2.
* Number of features : 302
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 14/100 iterations (~0.00 seconds/iteration)...converged in 14 iterations.
* [Step 93/111] Clustering vocabulary level 3, branch 3.
* Number of features : 450
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 26/100 iterations (~0.00 seconds/iteration)...converged in 26 iterations.
* [Step 94/111] Clustering vocabulary level 3, branch 4.
* Number of features : 588
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 23/100 iterations (~0.00 seconds/iteration)...converged in 23 iterations.
* [Step 95/111] Clustering vocabulary level 3, branch 5.
* Number of features : 296
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 19/100 iterations (~0.00 seconds/iteration)...converged in 19 iterations.
* [Step 96/111] Clustering vocabulary level 3, branch 6.
* Number of features : 396
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 16/100 iterations (~0.00 seconds/iteration)...converged in 16 iterations.
* [Step 97/111] Clustering vocabulary level 3, branch 7.
* Number of features : 253
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 17/100 iterations (~0.00 seconds/iteration)...converged in 17 iterations.
* [Step 98/111] Clustering vocabulary level 3, branch 8.
* Number of features : 406
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 14/100 iterations (~0.00 seconds/iteration)...converged in 14 iterations.
* [Step 99/111] Clustering vocabulary level 3, branch 9.
* Number of features : 343
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 13/100 iterations (~0.00 seconds/iteration)...converged in 13 iterations.
* [Step 100/111] Clustering vocabulary level 3, branch 10.
* Number of features : 317
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 14/100 iterations (~0.00 seconds/iteration)...converged in 14 iterations.
* [Step 101/111] Clustering vocabulary level 2, branch 10.
* Number of features : 4358
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 19/100 iterations (~0.01 seconds/iteration)...converged in 19 iterations.
* [Step 102/111] Clustering vocabulary level 3, branch 1.
* Number of features : 591
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 11/100 iterations (~0.00 seconds/iteration)...converged in 11 iterations.
* [Step 103/111] Clustering vocabulary level 3, branch 2.
* Number of features : 331
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 16/100 iterations (~0.01 seconds/iteration)...converged in 16 iterations.
* [Step 104/111] Clustering vocabulary level 3, branch 3.
* Number of features : 403
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 11/100 iterations (~0.00 seconds/iteration)...converged in 11 iterations.
* [Step 105/111] Clustering vocabulary level 3, branch 4.
* Number of features : 524
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 17/100 iterations (~0.00 seconds/iteration)...converged in 17 iterations.
* [Step 106/111] Clustering vocabulary level 3, branch 5.
* Number of features : 439
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 18/100 iterations (~0.00 seconds/iteration)...converged in 18 iterations.
* [Step 107/111] Clustering vocabulary level 3, branch 6.
* Number of features : 492
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 17/100 iterations (~0.00 seconds/iteration)...converged in 17 iterations.
* [Step 108/111] Clustering vocabulary level 3, branch 7.
* Number of features : 436
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 14/100 iterations (~0.00 seconds/iteration)...converged in 14 iterations.
* [Step 109/111] Clustering vocabulary level 3, branch 8.
* Number of features : 417
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 18/100 iterations (~0.00 seconds/iteration)...converged in 18 iterations.
* [Step 110/111] Clustering vocabulary level 3, branch 9.
* Number of features : 381
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 21/100 iterations (~0.00 seconds/iteration)...converged in 21 iterations.
* [Step 111/111] Clustering vocabulary level 3, branch 10.
* Number of features : 344
* Number of clusters : 10
* Initializing cluster centers...100.00%.
* Clustering...completed 19/100 iterations (~0.00 seconds/iteration)...converged in 19 iterations.
* Finished creating Bag-Of-Features
