Kernel_Methods_for_Pattern_Analysis_Matlab_Tools_F

代码说明：

  该文档包含了描述核方法的经典书籍Kernel+Methods+for+Pattern+Analysis以及附带书中的源码，非常适合学习核方法的研究者，希望大家喜欢～(this document include the classic book Kernel+Methods+for+Pattern+Analysis which describs the kernel trick in detail, and with the souce code in it, hope you will like~)

文件列表：

Kernel Methods for Pattern Analysis Matlab Tools & Functions
............................................................\adjrand.m
............................................................\anova.m
............................................................\bag_of_words.m
............................................................\blended_spectrum.m
............................................................\blended_spectrum_bf.m
............................................................\blended_spectrum_fast.m
............................................................\bow_kernel.m
............................................................\centering.m
............................................................\cholesky.m
............................................................\diag_red.m
............................................................\dualcca.m
............................................................\dualfisher.m
............................................................\dualkmeans.m
............................................................\dualpca.m
............................................................\dualpls.m


............................................................\kmer_gapped_kernel.m
............................................................\kmer_kernel.m
............................................................\kmer_wildcard_kernel.m
............................................................\KMtalk.pdf
............................................................\normalise.m
............................................................\pls.m
............................................................\p_spectrum.m
............................................................\p_spectrum_bf.m
............................................................\p_spectrum_fast.m
............................................................\p_trie.m
............................................................\rbf.m
............................................................\simplenovelty.m
............................................................\space.gif
............................................................\spectral_clustering.m
............................................................\ssk_fast.m
............................................................\standardise.m
............................................................\subseq_count.m
............................................................\svmctrain.m
............................................................\visualise.m
Kernel%2BMethods%2Bfor%2BPattern%2BAnalysis.pdf