代码搜索：Reduction
找到约 701 项符合「Reduction」的源代码
代码结果 701
www.eeworm.com/read/360732/10080602
m test_images.m
% test for dimension reduction on images datasets
name = 'binaryalphadigs';
name = 'umist_cropped';
name = 'edges';
name = 'disks';
name = 'frey_rawface';
name = 'digits';
name = 'olivettifac
www.eeworm.com/read/357874/10199045
m hdr.m
function [patterns, targets] = HDR(patterns, targets, New_dim)
%Reduce the dimensions of the data points using the hierarchical dimensionality reduction algorithm
%Inputs:
% train_patterns - Inpu
www.eeworm.com/read/349842/10796625
m hdr.m
function [features, targets] = HDR(features, targets, New_dim, region)
%Reduce the dimensions of the data points using the hierarchical dimensionality reduction algorithm
%Inputs:
% train_feature
www.eeworm.com/read/448049/7541054
m corr_stats.m
function [c_var, c_couples] = corr_stats(X, cut_1, cut_2, is_corrmatrix)
% -------------------------------------------------------------------------
% this code is part of the 'Reduction Testben
www.eeworm.com/read/399996/7816572
m hdr.m
function [patterns, targets] = HDR(patterns, targets, New_dim)
%Reduce the dimensions of the data points using the hierarchical dimensionality reduction algorithm
%Inputs:
% train_patterns - Inpu
www.eeworm.com/read/397099/8068722
m hdr.m
function [patterns, targets] = HDR(patterns, targets, New_dim)
%Reduce the dimensions of the data points using the hierarchical dimensionality reduction algorithm
%Inputs:
% train_patterns - Inpu
www.eeworm.com/read/245941/12770733
m hdr.m
function [patterns, targets] = HDR(patterns, targets, New_dim)
%Reduce the dimensions of the data points using the hierarchical dimensionality reduction algorithm
%Inputs:
% train_patterns - Inpu
www.eeworm.com/read/330850/12864692
m hdr.m
function [patterns, targets] = HDR(patterns, targets, New_dim)
%Reduce the dimensions of the data points using the hierarchical dimensionality reduction algorithm
%Inputs:
% train_patterns - Inpu
www.eeworm.com/read/317622/13500806
m hdr.m
function [patterns, targets] = HDR(patterns, targets, New_dim)
%Reduce the dimensions of the data points using the hierarchical dimensionality reduction algorithm
%Inputs:
% train_patterns - Inpu
www.eeworm.com/read/316604/13520384
m hdr.m
function [features, targets] = HDR(features, targets, New_dim, region)
%Reduce the dimensions of the data points using the hierarchical dimensionality reduction algorithm
%Inputs:
% train_feature