Description: Application examples Kmean classification and principal component analysis, it is clear to explain instance, very suitable learning algorithm
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Kmeans Clustering Principal ComponentAnalysis\bird_small.mat
.............................................\bird_small.png
.............................................\computeCentroids.m
.............................................\displayData.m
.............................................\drawLine.m
.............................................\ex7.m
.............................................\ex7.pdf
.............................................\ex7data1.mat
.............................................\ex7data2.mat
.............................................\ex7faces.mat
.............................................\ex7_pca.m
.............................................\featureNormalize.m
.............................................\findClosestCentroids.m
.............................................\kMeansInitCentroids.m
.............................................\pca.m
.............................................\plotDataPoints.m
.............................................\plotProgresskMeans.m
.............................................\projectData.m
.............................................\recoverData.m
.............................................\runkMeans.m
.............................................\submit.m
.............................................\submitWeb.m
Kmeans Clustering Principal ComponentAnalysis
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