How create training_labels and testing_labels from my data?

1 次查看（过去 30 天）

Bajdar Nour 2019-2-14

My data is M=(150X42)

and labels is Y=(150X1)

when I run the code

Reduced_training_data=1X30, and Reduced_testing_data=1X120, in line 10 and 11

I want to know how to create training_labels and testing_label?? when Y=150X1

1- Folds = 5;

2- PCA_Comp = 42;

3- Features = M;

4- ndices = crossvalind('Kfold',Y,Folds);

5- for i = 1:Folds

6- test = (indices == i); train = ~test;

7- [TRcoeff, TRscore] = pca(Features(train,:));

8- TRreduced=TRcoeff(:,PCA_Comp);

9- % Project the training and testing data onto the reduced components

10- Reduced_training_data=Features(train,:)*TRreduced;

11- Reduced_testing_data=Features(test,:)*TRreduced;

12- % Train and apply the classifier

13- err(ct)=sum(err==Testing_labels);

14- class = classify(Reduced_testing_data,Reduced_training_data,Training_labels);

在 Help Center 和 File Exchange 中查找有关 Pattern Recognition and Classification 的更多信息

Find the treasures in MATLAB Central and discover how the community can help you!

Translated by