代码搜索：MIXTURE
找到约 1,805 项符合「MIXTURE」的源代码
代码结果 1,805
www.eeworm.com/read/176823/9483334
m demgmm4.m
%DEMGMM4 Demonstrate density modelling with a Gaussian mixture model.
%
% Description
% The problem consists of modelling data generated by a mixture of
% three Gaussians in 2 dimensions with a mixtu
www.eeworm.com/read/425546/10349199
m demgmm4.m
%DEMGMM4 Demonstrate density modelling with a Gaussian mixture model.
%
% Description
% The problem consists of modelling data generated by a mixture of
% three Gaussians in 2 dimensions with a m
www.eeworm.com/read/469416/6976328
m demgmm3.m
%DEMGMM3 Demonstrate density modelling with a Gaussian mixture model.
%
% Description
% The problem consists of modelling data generated by a mixture of
% three Gaussians in 2 dimensions with a m
www.eeworm.com/read/469416/6976482
m demgmm4.m
%DEMGMM4 Demonstrate density modelling with a Gaussian mixture model.
%
% Description
% The problem consists of modelling data generated by a mixture of
% three Gaussians in 2 dimensions with a m
www.eeworm.com/read/458010/7314165
m gaussmix.m
function [m,v,w,g,f,pp,gg]=gaussmix(x,c,l,m0,v0,w0)
%GAUSSMIX fits a gaussian mixture pdf to a set of data observations [m,v,w,g,f]=(x,c,l,m0,v0,w0)
%
% Inputs: n data values, k mixtures, p paramet
www.eeworm.com/read/458010/7314186
m gmmlpdf.m
function l=gmmlpdf(x,m,v,w)
%GMMPDF calculated the pdf of a mixture of gaussians p=(x,m,v,w)
%
% Inputs: n data values, k mixtures, p parameters
%
% X(n,p) Input data vectors, one per row.
www.eeworm.com/read/448350/7534389
m gaussmix.m
function [m,v,w,g,f,pp,gg]=gaussmix(x,c,l,m0,v0,w0)
%GAUSSMIX fits a gaussian mixture pdf to a set of data observations [m,v,w,g,f]=(x,c,l,m0,v0,w0)
%
% Inputs: n data values, k mixtures, p paramet
www.eeworm.com/read/448350/7534410
m gmmlpdf.m
function l=gmmlpdf(x,m,v,w)
%GMMPDF calculated the pdf of a mixture of gaussians p=(x,m,v,w)
%
% Inputs: n data values, k mixtures, p parameters
%
% X(n,p) Input data vectors, one per row.
www.eeworm.com/read/442927/7641784
m gmmtraindemo1d.m
% Example of using GMM (gaussian mixture model) for 1-D data
% ====== 礶
www.eeworm.com/read/440750/7682148
m gaussmix.m
function [m,v,w,g,f,pp,gg]=gaussmix(x,c,l,m0,v0,w0)
%GAUSSMIX fits a gaussian mixture pdf to a set of data observations [m,v,w,g,f]=(x,c,l,m0,v0,w0)
%
% Inputs: n data values, k mixtures, p paramet