Statistical Learning and Visualization

You can classify and identify features in data sets, set up cross-validation experiments, and compare different classification methods.

The toolbox provides functions that build on the classification and statistical learning tools in the Statistics and Machine Learning Toolbox™ software (classify, kmeans, fitctree, and fitrtree).

These functions include imputation tools (knnimpute), and K-nearest neighbor classifiers (fitcknn).

Other functions include set up of cross-validation experiments (crossvalind) and comparison of the performance of different classification methods (classperf). In addition, there are tools for selecting diversity and discriminating features (rankfeatures, randfeatures).