代码搜索：Patterns
找到约 8,017 项符合「Patterns」的源代码
代码结果 8,017
www.eeworm.com/read/372113/9521093
m nearest_neighbor.m
function test_targets = Nearest_Neighbor(train_patterns, train_targets, test_patterns, Knn)
% Classify using the Nearest neighbor algorithm
% Inputs:
% train_patterns - Train patterns
% train_t
www.eeworm.com/read/372113/9521121
m none.m
function test_targets = None(train_patterns, train_targets, test_patterns, Params)
% Make no classifications (Dummy function)
% Inputs:
% training_patterns - Train patterns
% training_targets
www.eeworm.com/read/362008/10023780
m nearest_neighbor.m
function test_targets = Nearest_Neighbor(train_patterns, train_targets, test_patterns, Knn)
% Classify using the Nearest neighbor algorithm
% Inputs:
% train_patterns - Train patterns
% train_t
www.eeworm.com/read/362008/10023821
m none.m
function test_targets = None(train_patterns, train_targets, test_patterns, Params)
% Make no classifications (Dummy function)
% Inputs:
% training_patterns - Train patterns
% training_targets
www.eeworm.com/read/357874/10199054
m nearest_neighbor.m
function test_targets = Nearest_Neighbor(train_patterns, train_targets, test_patterns, Knn)
% Classify using the Nearest neighbor algorithm
% Inputs:
% train_patterns - Train patterns
% train_t
www.eeworm.com/read/357874/10199077
m none.m
function test_targets = None(train_patterns, train_targets, test_patterns, Params)
% Make no classifications (Dummy function)
% Inputs:
% training_patterns - Train patterns
% training_targets
www.eeworm.com/read/399996/7816599
m nearest_neighbor.m
function test_targets = Nearest_Neighbor(train_patterns, train_targets, test_patterns, Knn)
% Classify using the Nearest neighbor algorithm
% Inputs:
% train_patterns - Train patterns
% train_t
www.eeworm.com/read/399996/7816670
m none.m
function test_targets = None(train_patterns, train_targets, test_patterns, Params)
% Make no classifications (Dummy function)
% Inputs:
% training_patterns - Train patterns
% training_targets
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 "
www.eeworm.com/read/397099/8068738
m nearest_neighbor.m
function test_targets = Nearest_Neighbor(train_patterns, train_targets, test_patterns, Knn)
% Classify using the Nearest neighbor algorithm
% Inputs:
% train_patterns - Train patterns
% train_t