Title:
Machine-Learning-Toolkit-Examples
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Description: labview on the case of machine learning, from the NI lab, there are a number of ways: BP, the Kernel the PCA, Clustering, svm, etc., is worth learning.
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File list (Check if you may need any files):
Machine Learning Toolkit Examples\Data\Data_Concentric Circles.vi
.................................\....\Data_Four Gaussian.vi
.................................\....\Data_Hemisphere.vi
.................................\....\Data_Swiss Roll.vi
.................................\....\Data_Three Balls.vi
.................................\....\Data_Uniform Square.vi
.................................\Example_BP Network_Classification.vi
.................................\Example_BP Network_Curve Fitting.vi
.................................\Example_Clustering.vi
.................................\Example_Kernel PCA.vi
.................................\Example_LDA.vi
.................................\Example_LVQ.vi
.................................\Example_Manifold Learning.vi
.................................\Example_SOM.vi
.................................\Example_SVM.vi
.................................\Data
Machine Learning Toolkit Examples
