GitHub - wangyif2/principal_component_analysis: use PCA to reduce the dimensionality of hand written digit data from 256 to 2, and achieve better classification rate with 1-Nearest_Neighbor classifier

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Name		Name	Last commit message	Last commit date
Latest commit Robert and Robert n/a Nov 2, 2012 85deb57 · Nov 2, 2012 History 3 Commits
bonus.m		bonus.m	use PCA to reduce the dimensionality of hand written digit data from …	Nov 2, 2012
digits.mat		digits.mat	use PCA to reduce the dimensionality of hand written digit data from …	Nov 2, 2012
knn.m		knn.m	use PCA to reduce the dimensionality of hand written digit data from …	Nov 2, 2012
l2_distance.m		l2_distance.m	use PCA to reduce the dimensionality of hand written digit data from …	Nov 2, 2012
pca_classifier.m		pca_classifier.m	use PCA to reduce the dimensionality of hand written digit data from …	Nov 2, 2012
pcaimg.m		pcaimg.m	use PCA to reduce the dimensionality of hand written digit data from …	Nov 2, 2012

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use PCA to reduce the dimensionality of hand written digit data from 256 to 2, and achieve better classification rate with 1-Nearest_Neighbor classifier

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