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~

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+Methods+for+Pattern+Analysis.pdf

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