Machine learning and pattern recognition toolkit spider. Very rich in contents. Tree contains svm (C45, J48), svm, knn, adaboost, bagging, hmm (hidden Markov model), random trees (random forest), etc.

spider_jul2406\spider\basic\@algorithm\algorithm.m
..............\......\.....\..........\am_i_data.m
..............\......\.....\..........\display.m
..............\......\.....\..........\display_simple.m
..............\......\.....\..........\extract.m
..............\......\.....\..........\gen.m
..............\......\.....\..........\get_name.m
..............\......\.....\..........\isdeferred.m
..............\......\.....\..........\subsasgn.m
..............\......\.....\..........\subsref.m
..............\......\.....\..........\test.m
..............\......\.....\..........\train.m
..............\......\.....\..........\traintest.m
..............\......\.....\..........\traintests.m
..............\......\.....\.chain\chain.m
..............\......\.....\......\display.m
..............\......\.....\......\subsasgn.m
..............\......\.....\......\subsref.m
..............\......\.....\......\testing.m
..............\......\.....\......\training.m
..............\......\.....\..v\cv.m
..............\......\.....\...\display.m
..............\......\.....\...\get_name.m
..............\......\.....\...\subsasgn.m
..............\......\.....\...\subsref.m
..............\......\.....\...\testing.m
..............\......\.....\...\training.m
..............\......\.....\.data\concatenate.m
..............\......\.....\.....\data.asv
..............\......\.....\.....\data.m
..............\......\.....\.....\display.m
..............\......\.....\.....\get.m
..............\......\.....\.....\get_dim.m
..............\......\.....\.....\get_index.m
..............\......\.....\.....\get_name.m
..............\......\.....\.....\get_x.m
..............\......\.....\.....\get_xy.m
..............\......\.....\.....\get_y.m
..............\......\.....\.....\isdeferred.m
..............\......\.....\.....\partition.m
..............\......\.....\.....\plot.asv
..............\......\.....\.....\plot.m
..............\......\.....\.....\readfrom.m
..............\......\.....\.....\set_name.m
..............\......\.....\.....\set_x.m
..............\......\.....\.....\set_y.m
..............\......\.....\.....\subsasgn.m
..............\......\.....\.....\subsref.m
..............\......\.....\.....\testing.m
..............\......\.....\.....\training.m
..............\......\.....\....._global\concatenate.m
..............\......\.....\............\data_global.m
..............\......\.....\............\display.m
..............\......\.....\............\get.m
..............\......\.....\............\get_dim.m
..............\......\.....\............\get_index.m
..............\......\.....\............\get_name.m
..............\......\.....\............\get_x.m
..............\......\.....\............\get_xy.m
..............\......\.....\............\get_y.m
..............\......\.....\............\isdeferred.m
..............\......\.....\............\ismyX.m
..............\......\.....\............\make_cell.m
..............\......\.....\............\partition.m
..............\......\.....\............\set_name.m
..............\......\.....\............\set_x.m
..............\......\.....\............\set_y.m
..............\......\.....\............\subsasgn.m
..............\......\.....\............\subsref.m
..............\......\.....\..istance\calc.m
..............\......\.....\.........\chisquared.m
..............\......\.....\.........\distance.m
..............\......\.....\.........\eq.m
..............\......\.....\.........\euclid.m
..............\......\.....\.........\get_distance.m
..............\......\.....\.........\get_name.m
..............\......\.....\.........\get_norm.m
..............\......\.....\.........\linear.m
..............\......\.....\.........\norm.m
..............\......\.....\.........\subsasgn.m
..............\......\.....\.........\subsref.m
..............\......\.....\.........\template_distance.m
..............\......\.....\.........\testing.m
..............\......\.....\.........\training.m
..............\......\.....\.get_mean\calc.m
..............\......\.....\.........\get_mean.m
..............\......\.....

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