代码搜索：Classify
找到约 2,639 项符合「Classify」的源代码
代码结果 2,639
www.eeworm.com/read/268130/11151057
m id3.m
function test_targets = ID3(train_patterns, train_targets, test_patterns, params)
% Classify using Quinlan's ID3 algorithm
% Inputs:
% train_patterns - Train patterns
% train_targets - Train ta
www.eeworm.com/read/386950/8716562
m usec45.m
%UseC45.m
%Shiliang Sun (shiliangsun@gmail.com), Apr. 9, 2007
%Show how to use the C4.5 algorithm to train a decision tree and classify
%test samples.
%This code is based on the C4_5.m file from "
www.eeworm.com/read/286662/8751690
m c4_5.m
function test_targets = C4_5(train_patterns, train_targets, test_patterns, inc_node)
% Classify using Quinlan's C4.5 algorithm
% Inputs:
% training_patterns - Train patterns
% training_target
www.eeworm.com/read/372113/9521106
m c4_5.m
function test_targets = C4_5(train_patterns, train_targets, test_patterns, inc_node)
% Classify using Quinlan's C4.5 algorithm
% Inputs:
% training_patterns - Train patterns
% training_target
www.eeworm.com/read/362008/10023800
m c4_5.m
function test_targets = C4_5(train_patterns, train_targets, test_patterns, inc_node)
% Classify using Quinlan's C4.5 algorithm
% Inputs:
% training_patterns - Train patterns
% training_target
www.eeworm.com/read/357874/10199065
m c4_5.m
function test_targets = C4_5(train_patterns, train_targets, test_patterns, inc_node)
% Classify using Quinlan's C4.5 algorithm
% Inputs:
% training_patterns - Train patterns
% training_target
www.eeworm.com/read/444270/7615419
m force_membership_wc.m
function class_out = force_membership_wc(f_in, class_in, f_out, handles);
% class = function force_membership(f_in, class_in, f_out, handles)
% Given classified points, try to classify new points vi
www.eeworm.com/read/399996/7816632
m c4_5.m
function test_targets = C4_5(train_patterns, train_targets, test_patterns, inc_node)
% Classify using Quinlan's C4.5 algorithm
% Inputs:
% training_patterns - Train patterns
% training_target
www.eeworm.com/read/399996/7816731
asv c4_5.asv
function test_targets = C4_5(train_patterns, train_targets, test_patterns, inc_node)
% Classify using Quinlan's C4.5 algorithm
% Inputs:
% training_patterns - Train patterns
% training_target
www.eeworm.com/read/298374/7964833
m usec45.m
%UseC45.m
%Shiliang Sun (shiliangsun@gmail.com), Apr. 9, 2007
%Show how to use the C4.5 algorithm to train a decision tree and classify
%test samples.
%This code is based on the C4_5.m file from "