代码搜索：Multidimensional
找到约 559 项符合「Multidimensional」的源代码
代码结果 559
www.eeworm.com/read/159920/10588857
c amalloc.c
/*
AMALLOC - multi-dimensional malloc()
Allocates a multidimensional array dynamically, at runtime, so that
1: its elements can be accessed using multiple indirection
2: it can be dealloca
www.eeworm.com/read/349842/10796973
m mds.m
function [new_features, targets] = MDS(features, targets, params, region)
% Reshape the data using the multidimensional scaling algorithm
% Inputs:
% features - Train features
% targets - Train
www.eeworm.com/read/399996/7817069
m mds.m
function [new_patterns, targets] = MDS(patterns, targets, params)
% Reshape the data using the multidimensional scaling algorithm
% Inputs:
% patterns - Train patterns
% targets - Train targets
www.eeworm.com/read/397099/8069066
m mds.m
function [new_patterns, targets] = MDS(patterns, targets, params)
% Reshape the data using the multidimensional scaling algorithm
% Inputs:
% patterns - Train patterns
% targets - Train targets
www.eeworm.com/read/245941/12771191
m mds.m
function [new_patterns, targets] = MDS(patterns, targets, params)
% Reshape the data using the multidimensional scaling algorithm
% Inputs:
% patterns - Train patterns
% targets - Train targets
www.eeworm.com/read/330850/12865177
m mds.m
function [new_patterns, targets] = MDS(patterns, targets, params)
% Reshape the data using the multidimensional scaling algorithm
% Inputs:
% patterns - Train patterns
% targets - Train targets
www.eeworm.com/read/317622/13500961
m mds.m
function [new_patterns, targets] = MDS(patterns, targets, params)
% Reshape the data using the multidimensional scaling algorithm
% Inputs:
% patterns - Train patterns
% targets - Train targets
www.eeworm.com/read/316604/13520526
m mds.m
function [new_features, targets] = MDS(features, targets, params, region)
% Reshape the data using the multidimensional scaling algorithm
% Inputs:
% features - Train features
% targets - Train
www.eeworm.com/read/359185/6352591
m mds.m
function [new_features, targets] = MDS(features, targets, params, region)
% Reshape the data using the multidimensional scaling algorithm
% Inputs:
% features - Train features
% targets - Train
www.eeworm.com/read/493206/6398602
m mds.m
function [new_features, targets] = MDS(features, targets, params, region)
% Reshape the data using the multidimensional scaling algorithm
% Inputs:
% features - Train features
% targets - Train