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/450608/7480398
m mds.m
%MDS - Multidimensional Scaling - a variant of Sammon mapping
%
% [W,J,stress] = MDS(D,Y,OPTIONS)
% [W,J,stress] = MDS(D,N,OPTIONS)
%
% INPUT
% D Square (M x M) dissimilarity matrix
%
www.eeworm.com/read/441245/7673034
m mds.m
%MDS - Multidimensional Scaling - a variant of Sammon mapping
%
% [W,J,stress] = MDS(D,Y,OPTIONS)
% [W,J,stress] = MDS(D,N,OPTIONS)
%
% INPUT
% D Square (M x M) dissimilarity matrix
%
www.eeworm.com/read/244800/12843035
m mds.m
function mappedX = mds(X, no_dims)
%MDS Run MDS on the data to get a low-dimensional visualization
%
% mappedX = mds(X, no_dims)
%
% Run multidimensional scaling on the dataset X to get a two-
www.eeworm.com/read/137160/13342283
m mds.m
%MDS - Multidimensional Scaling - a variant of Sammon mapping
%
% [W,J,stress] = MDS(D,Y,OPTIONS)
% [W,J,stress] = MDS(D,N,OPTIONS)
%
% INPUT
% D Square (M x M) dissimilarity matrix
%
www.eeworm.com/read/314653/13562526
m mds.m
%MDS - Multidimensional Scaling - a variant of Sammon mapping
%
% [W,J,stress] = MDS(D,Y,OPTIONS)
% [W,J,stress] = MDS(D,N,OPTIONS)
%
% INPUT
% D Square (M x M) dissimilarity matrix
%
www.eeworm.com/read/305575/13765479
m vindex.m
function[varargout]=vindex(varargin)
%VINDEX Indexes an N-D array along a specified dimension.
%
% Y=VINDEX(X,INDEX,DIM) indexes the multidimensional array X along
% dimension DIM. This is e
www.eeworm.com/read/493294/6400269
m mds.m
%MDS - Multidimensional Scaling - a variant of Sammon mapping
%
% [W,J,stress] = MDS(D,Y,OPTIONS)
% [W,J,stress] = MDS(D,N,OPTIONS)
%
% INPUT
% D Square (M x M) dissimilarity matrix
%
www.eeworm.com/read/479166/6700217
cpp fig07_22.cpp
// Fig. 7.22: fig07_22.cpp
// Initializing multidimensional arrays.
#include
using std::cout;
using std::endl;
void printArray( const int [][ 3 ] ); // prototype
int main()
{
www.eeworm.com/read/400577/11572998
m mds.m
%MDS - Multidimensional Scaling - a variant of Sammon mapping
%
% [W,J,stress] = MDS(D,Y,OPTIONS)
% [W,J,stress] = MDS(D,N,OPTIONS)
%
% INPUT
% D Square (M x M) dissimilarity matrix
%
www.eeworm.com/read/256102/12028357
cpp fig07_22.cpp
// Fig. 7.22: fig07_22.cpp
// Initializing multidimensional arrays.
#include
using std::cout;
using std::endl;
void printArray( const int [][ 3 ] ); // prototype
int main()
{