using Matlab a PCA (Principal Component Analysis), k_means image segmentation good example.

image_mva_0
...........\ChooseInitialCentres.m
...........\dcFuzzy.m
...........\dcKMeans.m
...........\fastnnls.m
...........\fourdifft.m
...........\histogram.fig
...........\histogram.m
...........\image_mva_0.asv
...........\image_mva_0.fig
...........\image_mva_0.m
...........\image_mva_0_0.m
...........\image_mva_0_1.m
...........\image_mva_11.m
...........\image_mva_22.m
...........\im_class_MLE.m
...........\invder.m
...........\MaxMax.m
...........\mcr.m
...........\MeanMean.m
...........\MinMin.m
...........\pca.m
...........\pca2.m
...........\pca_mean.asv
...........\pca_mean.m
...........\profiles.fig
...........\profiles.m
...........\sgolay.m
...........\sgolayfilt.m
...........\simplisma.m
...........\threshold.fig
...........\threshold.m
...........\threshold_grayscale_image.m

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