代码搜索:Netlab
找到约 753 项符合「Netlab」的源代码
代码结果 753
www.eeworm.com/read/150905/12250602
zip netlab.zip
www.eeworm.com/read/225759/4792540
netlab license.netlab
Netlab is written by Ian Nabney and Chris Bishop.
See http://www.ncrg.aston.ac.uk/netlab/
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Library G
www.eeworm.com/read/225759/4792608
netlab license.netlab
Netlab is written by Ian Nabney and Chris Bishop.
See http://www.ncrg.aston.ac.uk/netlab/
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Library G
www.eeworm.com/read/427909/8913702
m pca_netlab.m
function [PCcoeff, PCvec] = pca(data, N)
%PCA Principal Components Analysis
%
% Description
% PCCOEFF = PCA(DATA) computes the eigenvalues of the covariance
% matrix of the dataset DATA and retu
www.eeworm.com/read/373250/9467729
m pca_netlab.m
function [PCcoeff, PCvec] = pca(data, N)
%PCA Principal Components Analysis
%
% Description
% PCCOEFF = PCA(DATA) computes the eigenvalues of the covariance
% matrix of the dataset DATA and retu
www.eeworm.com/read/349646/10808862
m pca_netlab.m
function [PCcoeff, PCvec] = pca(data, N)
%PCA Principal Components Analysis
%
% Description
% PCCOEFF = PCA(DATA) computes the eigenvalues of the covariance
% matrix of the dataset DATA and retu
www.eeworm.com/read/349646/10809915
m pca_netlab.m
function [PCcoeff, PCvec] = pca(data, N)
%PCA Principal Components Analysis
%
% Description
% PCCOEFF = PCA(DATA) computes the eigenvalues of the covariance
% matrix of the dataset DATA and retu
www.eeworm.com/read/469416/6976312
m pca_netlab.m
function [PCcoeff, PCvec] = pca(data, N)
%PCA Principal Components Analysis
%
% Description
% PCCOEFF = PCA(DATA) computes the eigenvalues of the covariance
% matrix of the dataset DATA and retu
www.eeworm.com/read/469416/6976341
zip netlab3.3.zip
www.eeworm.com/read/140851/13058913
m pca_netlab.m
function [PCcoeff, PCvec] = pca(data, N)
%PCA Principal Components Analysis
%
% Description
% PCCOEFF = PCA(DATA) computes the eigenvalues of the covariance
% matrix of the dataset DATA and retu