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Subspace_Learning_Codes manifold learning subspace

2013-09-17 01:53:23
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Algorithm implements a variety of dimensional reduction methods including PCA algorithm for unsupervised, supervised LDA-based algorithm, the LPP and OLPP and includes manifold learning algorithm. By dimension reduction can effectively reduce computational complexity.
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File list

Tips: You can preview the content of files by clicking file names^_^
Name Size Date
constructW.m10.38 kB08-01-07 09:39
LDA.m2.19 kB08-01-07 09:38
LPP.m5.36 kB08-01-07 09:38
OLPP.m6.46 kB08-01-07 09:39
PCA.m6.07 kB08-01-07 09:36
readmeLPP.txt1.31 kB08-01-07 09:39
TensorLPP.m5.56 kB08-01-07 09:39
Yale.mat165.40 kB08-01-07 09:42
<Subspace>0.00 Band Datasets
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Subspace_Learning_Codes manifold learning subspace (169.84 kB)

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