Dimensionality Reduction and Classification through PCA and LDA

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Telgaonkar ArchanaH. Deshmukh Sachin

Dimensionality Reduction and Classification through PCA and LDA (2015)

[TLDR] Well known techniques of Dimensionality Reduction namely Principle Component Analysis (PCA) and Linear Discriminant Analysis (LDA) are studied and performance analysis is carried out on high dimensional data set UMIST, COIL and YALE which consists of images of objects and human faces.