文件名称:Libsvm2.32

介绍说明--下载内容均来自于网络,请自行研究使用

libsvm的是一个简单,易于使用和高效的软件的SVM

分类与回归。它可以解决ç - SVM分类,

努SVM分类,一类支持向量机,ε- SVM的回归,

和Nu - SVM的回归。本文件解释了libsvm的使用。-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.

相关搜索: libsvm
回归

(系统自动生成,下载前可以参看下载内容)

下载文件列表

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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