How to feed a feature matrix for each class in multiclass classification?

1 次查看（过去 30 天）
NASRIN AKTER
NASRIN AKTER 2021-10-13
回答： Prince Kumar 2022-1-21
Hello
I am using 'emd' for feature extraction. In my case, I will create 5 IMFs and extract 2 features from each so it would be a 5x2 matrix for each class label. How do I feed that to a multiclass classifier?

请先登录，再回答此问题。

回答（1 个）

Prince Kumar
Prince Kumar 2022-1-21
Ran in:
Hi,
You can feed the input matrix like you do it binary classifier or any classifier.
Please refer the following code for better understanding:
load fisheriris
Mdl = fitctree(meas,species)
Mdl =
ClassificationTree ResponseName: 'Y' CategoricalPredictors: [] ClassNames: {'setosa' 'versicolor' 'virginica'} ScoreTransform: 'none' NumObservations: 150 Properties, Methods
After you load the fisheriris dataset, you get meas (150x4) as input matrix and species(150x1) as target array.
Now you simply call "fitctree" to train a multiclass decision tree.
You can now use "predict" function to do the classification on the trained classifier.
X = [4.85,3.4,1.3,0.22];
label = predict(Mdl,X)
label = 1×1 cell array
{'setosa'}
Hope this helps!

类别

在 Help Center 和 File Exchange 中查找有关 Classification Trees 的更多信息

标签

Community Treasure Hunt

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

Start Hunting!

Translated by