Description: Libsvm is a simple, easy-to-use, and efficient software for SVM
classification and regression. It can solve C-SVM classification,
nu-SVM classification, one-class-SVM, epsilon-SVM regression,
and nu-SVM regression. This document explains the use of libsvm.
To Search:
- [1687504099] - Support Vector Machine (SVM), a classifi
- [Libsvm-2_6] - Support Vector Machine beginners can see
- [SVMWrap] - SVM classification code, achieve more go
- [matlab] - ocsvm
- [svmTrain] - A matlab platform applications svm toolb
- [SVMAPP] - SVM classifier, the value of training sa
File list (Check if you may need any files):
Libsvm2.32完全版\LIBSVM.htm
................\WS_FTP.LOG
................\Libsvm文献\e1071.pdf
................\..........\e1071_1.2-1.tar.gz
................\..........\libsvm.pdf
................\..........\svmdoc.pdf
................\..........\WS_FTP.LOG
................\..........\e1071_1.2-1\e1071\COPYING
................\..........\...........\.....\COPYRIGHT.svm.cpp
................\..........\...........\.....\DESCRIPTION
................\..........\...........\.....\INDEX
................\..........\...........\.....\NEWS
................\..........\...........\.....\README
................\..........\...........\.....\src\Makevars
................\..........\...........\.....\...\Rsvm.c
................\..........\...........\.....\...\cmeans.c
................\..........\...........\.....\...\cshell.c
................\..........\...........\.....\...\floyd.c
................\..........\...........\.....\...\scaclust.c
................\..........\...........\.....\...\svm.cpp
................\..........\...........\.....\...\svm.h
................\..........\...........\.....\man\Discrete.Rd
................\..........\...........\.....\...\Mvnorm.Rd
................\..........\...........\.....\...\bclust.Rd
................\..........\...........\.....\...\bincombinations.Rd
................\..........\...........\.....\...\bootstrap.lca.Rd
................\..........\...........\.....\...\boxplot.bclust.Rd
................\..........\...........\.....\...\classAgreement.Rd
................\..........\...........\.....\...\cmeans.Rd
................\..........\...........\.....\...\countpattern.Rd
................\..........\...........\.....\...\cshell.Rd
................\..........\...........\.....\...\e1071-internal.Rd
................\..........\...........\.....\...\element.Rd
................\..........\...........\.....\...\fclustIndex.Rd
................\..........\...........\.....\...\hamming.distance.Rd
................\..........\...........\.....\...\hamming.window.Rd
................\..........\...........\.....\...\hanning.window.Rd
................\..........\...........\.....\...\ica.Rd
................\..........\...........\.....\...\impute.Rd
................\..........\...........\.....\...\interpolate.Rd
................\..........\...........\.....\...\kurtosis.Rd
................\..........\...........\.....\...\lca.Rd
................\..........\...........\.....\...\matchClasses.Rd
................\..........\...........\.....\...\moment.Rd
................\..........\...........\.....\...\permutations.Rd
................\..........\...........\.....\...\plot.stft.Rd
................\..........\...........\.....\...\predict.svm.Rd
................\..........\...........\.....\...\rbridge.Rd
................\..........\...........\.....\...\read.octave.Rd
................\..........\...........\.....\...\rectangle.window.Rd
................\..........\...........\.....\...\rwiener.Rd
................\..........\...........\.....\...\scaclust.Rd
................\..........\...........\.....\...\shortestPaths.Rd
................\..........\...........\.....\...\sigmoid.Rd
................\..........\...........\.....\...\skewness.Rd
................\..........\...........\.....\...\stft.Rd
................\..........\...........\.....\...\svm.Rd
................\..........\...........\.....\inst\docs\svmdoc.pdf
................\..........\...........\.....\R\bclust.R
................\..........\...........\.....\.\bincombinations.R
................\..........\...........\.....\.\cmeans.R
................\..........\...........\.....\.\countpattern.R
................\..........\...........\.....\.\cshell.R
................\..........\...........\.....\.\discrete.R
................\..........\...........\.....\.\element.R
................\..........\...........\.....\.\fclustIndex.R
................\..........\...........\.....\.\hamming.distance.R
................\..........\...........\.....\.\hamming.window.R
................\..........\...........\.....\.\hanning.window.R
...........
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