​Spider-matlab工具箱我要分享

Spider matlab toolbox

​Spider-matlab 工具箱

关注次数: 325

下载次数: 1

文件大小: 317KB

代码分类: 仿真计算

开发平台: matlab

下载需要积分: 1积分

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代码描述

中文说明:

Spider-matlab工具箱,为一良好的数据分析工具箱,内建核偏最小二乘回归(KPLS),径向基网络回归(RBFnet)等;支持向量机(SVC)分类;聚类分析等。


English Description:

Spider matlab toolbox is a good data analysis toolbox, including built-in kernel partial least squares regression (KPLS), radial basis function network regression (RBFnet), etc; Support vector machine (SVC) classification; Cluster analysis, etc


代码预览

Spider

......\basic

......\.....\@corrt_test

......\.....\...........\calc.m

......\.....\...........\corrt_test.m

......\.....\...........\CVS

......\.....\...........\...\Entries

......\.....\...........\...\Entries.Extra

......\.....\...........\...\Repository

......\.....\...........\...\Root

......\.....\...........\get_name.m

......\.....\...........\subsasgn.m

......\.....\...........\subsref.m

......\.....\...........\testing.m

......\.....\...........\training.m

......\.....\@joint_data

......\.....\...........\concatenate.m

......\.....\...........\CVS

......\.....\...........\...\Entries

......\.....\...........\...\Repository

......\.....\...........\...\Root

......\.....\...........\display.m

......\.....\...........\get.m

......\.....\...........\get_dim.m

......\.....\...........\get_index.m

......\.....\...........\get_name.m

......\.....\...........\get_x.m

......\.....\...........\get_xy.m

......\.....\...........\get_y.m

......\.....\...........\joint_data.m

......\.....\...........\partition.m

......\.....\...........\readfrom.m

......\.....\...........\set_name.m

......\.....\...........\set_x.m

......\.....\...........\set_y.m

......\.....\...........\subsasgn.m

......\.....\...........\subsref.m

......\.....\...........\testing.m

......\.....\...........\training.m

......\.....\@joint_kernel

......\.....\.............\calc.asv

......\.....\.............\calc.m

......\.....\.............\CVS

......\.....\.............\...\Entries

......\.....\.............\...\Repository

......\.....\.............\...\Root

......\.....\.............\eq.m

......\.....\.............\get_kernel.m

......\.....\.............\get_name.m

......\.....\.............\get_norm.m

......\.....\.............\joint_kernel.m

......\.....\.............\joint_substring.m

......\.....\.............\joint_triangular.m

......\.....\.............\subsasgn.m

......\.....\.............\subsref.m

......\.....\.............\tensor.m

......\.....\.............\testing.m

......\.....\.............\training.m

......\.....\@wilcoxon

......\.....\.........\calc.m

......\.....\.........\CVS

......\.....\.........\...\Entries

......\.....\.........\...\Entries.Extra

......\.....\.........\...\Repository

......\.....\.........\...\Root

......\.....\.........\get_name.m

......\.....\.........\subsasgn.m

......\.....\.........\subsref.m

......\.....\.........\testing.m

......\.....\.........\training.m

......\.....\.........\wilcoxon.m

......\clust

......\.....\@mrank

......\.....\......\CVS

......\.....\......\...\Entries

......\.....\......\...\Entries.Extra

......\.....\......\...\Repository

......\.....\......\...\Root

......\.....\......\get_name.m

......\.....\......\mrank.m

......\.....\......\plot.m

......\.....\......\subsasgn.m

......\.....\......\subsref.m

......\.....\......\testing.m

......\.....\......\training.m

......\.....\@nmf

......\.....\....\CVS

......\.....\....\...\Entries

......\.....\....\...\Entries.Extra

......\.....\....\...\Repository

......\.....\....\...\Root

......\.....\....\get_name.m

......\.....\....\nmf.m

......\.....\....\subsasgn.m

......\.....\....\subsref.m

......\.....\....\testing.asv

......\.....\....\testing.m

......\.....\....\training.asv

......\.....\....\training.m

......\.....\@ppca