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/362008/10024003
m deterministic_sa.m
function [patterns, targets] = Deterministic_SA(train_patterns, train_targets, params, plot_on)
%Reduce the number of data points using the deterministic simulated annealing algorithm
%Inputs:
%
www.eeworm.com/read/357874/10199145
m leader_follower.m
function [patterns, targets, label, W] = Leader_Follower(train_patterns, train_targets, params, plot_on)
%Reduce the number of data points using the basic leader-follower clustering algorithm
%Inp
www.eeworm.com/read/357874/10199184
m deterministic_sa.m
function [patterns, targets] = Deterministic_SA(train_patterns, train_targets, params, plot_on)
%Reduce the number of data points using the deterministic simulated annealing algorithm
%Inputs:
%
www.eeworm.com/read/399996/7816904
m leader_follower.m
function [patterns, targets, label, W] = Leader_Follower(train_patterns, train_targets, params, plot_on)
%Reduce the number of data points using the basic leader-follower clustering algorithm
%Inp
www.eeworm.com/read/399996/7817014
m deterministic_sa.m
function [patterns, targets] = Deterministic_SA(train_patterns, train_targets, params, plot_on)
%Reduce the number of data points using the deterministic simulated annealing algorithm
%Inputs:
%
www.eeworm.com/read/397099/8068934
m leader_follower.m
function [patterns, targets, label, W] = Leader_Follower(train_patterns, train_targets, params, plot_on)
%Reduce the number of data points using the basic leader-follower clustering algorithm
%Inp
www.eeworm.com/read/397099/8069027
m deterministic_sa.m
function [patterns, targets] = Deterministic_SA(train_patterns, train_targets, params, plot_on)
%Reduce the number of data points using the deterministic simulated annealing algorithm
%Inputs:
%
www.eeworm.com/read/245941/12771014
m leader_follower.m
function [patterns, targets, label, W] = Leader_Follower(train_patterns, train_targets, params, plot_on)
%Reduce the number of data points using the basic leader-follower clustering algorithm
%Inp
www.eeworm.com/read/245941/12771127
m deterministic_sa.m
function [patterns, targets] = Deterministic_SA(train_patterns, train_targets, params, plot_on)
%Reduce the number of data points using the deterministic simulated annealing algorithm
%Inputs:
%
www.eeworm.com/read/330850/12865013
m leader_follower.m
function [patterns, targets, label, W] = Leader_Follower(train_patterns, train_targets, params, plot_on)
%Reduce the number of data points using the basic leader-follower clustering algorithm
%Inp