IRootLab
An Open-Source MATLAB toolbox for vibrational biospectroscopy
transformation Directory Reference
+ Directory dependency graph for transformation:

Files

file  demo_as_dsperc_x_rate.m [code]
 (dataset %) x (classification rate %) curve to check sample sizeAllows to verify whether the classification rate would tend to improve if there were more data; or whether apparently there is more data than needed.
 
file  demo_does_bagging_help.m [code]
 
file  demo_factorscurve.m [code]
 (number of factors)X(Classification rate) curve
 
file  demo_feature_histogram_colors.m [code]
 Shows different ways to paint the same Feature Histogram.
 
file  demo_forward.m [code]
 Forward feature selection demo.
 
file  demo_gridsearch_knn_and_pca.m [code]
 Combined optimization of PCA number of factors & k-NN k.
 
file  demo_gridsearch_knn_k.m [code]
 Grid search to obtain best k-NN's k.
 
file  demo_gridsearch_pca_discriminant.m [code]
 Grid search to simultaneously optimize (PCA number of factors) x ('linear'/'quadratic')