Spider4dataanlysis
代码说明：
?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．(Spider-Matlab Toolbox for a good data analysis toolbox. Built-nuclear partial least squares (PLS) regression neural network (RBFnet); Support Vector Machine (SVC) classification; Cluster analysis.)
文件列表：
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
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