function?D?=?C4_5（train_features?train_targets?inc_node?region）

%?Classify?using?Quinlan‘s?C4.5?algorithm
%?Inputs:
%?features	??-?Train?features
%	targets	????-?Train?targets
%	inc_node????-?Percentage?of?incorrectly?assigned?samples?at?a?node
%???inc_node參數(shù)用于作為迭代結(jié)束的條件，我覺(jué)得就是葉子節(jié)點(diǎn)可以包含的最大的樣本數(shù)
%???inc_node參數(shù)太大的話會(huì)導(dǎo)致分類準(zhǔn)確率下降，太小的話可能會(huì)導(dǎo)致過(guò)擬合
%	region	????-?Decision?region?vector:?[-x?x?-y?y?number_of_points]
%
%?Outputs
%	D			-?Decision?sufrace

%NOTE:?In?this?implementation?it?is?assumed?that?a?feature?vector?with?fewer?than?10?unique?values?（the?parameter?Nu）
%is?discrete?and?will?be?treated?as?such.?Other?vectors?will?be?treated?as?continuous

[Ni?M]		=?size（train_features）;%M是樣本數(shù)，Ni是樣本維數(shù)
inc_node????=?inc_node*M/100;
Nu??????????=?10;

%For?the?decision?region
N??????

?屬性????????????大小?????日期????時(shí)間???名稱
-----------?---------??----------?-----??----

?????文件???????6771??2010-04-05?23:28??C4_5.m

-----------?---------??----------?-----??----

?????????????????6771????????????????????1