LDA dimension reduction is one of the commonly used dimensionality reduction methods. It is a commonly used supervised learning dimensionality reduction tool. This file gives a brief description of the use of W after it was generated, and the final dimensionality reduction using W yields a very nice analysis result (if the data distribution conforms to the hypothetical analysis).

Filename	Size	Update
LDA or FDA code with tutorial\Tutorial.pdf	790087	2017-05-26
LDA or FDA code with tutorial\First_LDA_example.m	1353	2018-08-20
LDA or FDA code with tutorial\LDA_ClassIndependent.m	1692	2018-08-20
LDA or FDA code with tutorial\MutiClass_LDA_example.m	2463	2018-08-20

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