PCA (principal component analysis), KPCA (principa
2016-08-23
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Application background
Practice PCA, KPCA algorithm, the main components analysis of IRIS data to reduce data dimension, the contribution of the IRIS data to discuss.Key Technology
PCA operation is a kind of direct transformation of a coordinate system, in which the variance of the data points is maximized along the new coordinate axis. These axes are often called the principal components. PCA operation is a feature space transformation, which uses the statistical properties of the data set, which reduces the dimension of the data set in the case of lossless or very little loss of the data set.matlab
pca
Iris
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kpca
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