function [K,c,z,pi,w] = mixtureSelect(data,maxK,sigma,feedback) % mixtureSelect : estimate a mixture with unknown K using BIC % …
mixture 源代码
探索Mixture技术的奥秘,这里汇集了28个精选资源,涵盖从基础理论到高级应用的全方位内容。Mixture技术在信号处理、数据融合及机器学习等领域展现出卓越性能,是实现复杂系统优化的关键。无论您是初学者还是资深工程师,都能在这里找到宝贵的学习资料和技术文档,助力您的项目开发与研…
function [c,z,pi,w,Q] = mixtureEM(data,K,sigma,z0,feedback) % mixtureEM : cluster by estimating a mixture of Gaussians % [c,z,pi,w…
function [m,v,w,lp,f]=gaussmix(x,c,l,m0,v0,w0) %GAUSSMIX fits a gaussian mixture pdf to a set of data observations [m,v,w,lp]=(x,…
This directory implements Cluster Weighted Regression, as described in Neil Gershenfeld, "The nature of mathematical modelling", p…
function x = mixgauss_sample(mu, Sigma, labels) % MIXGAUSS_SAMPLE Sample from a mixture of Gaussians given known mixture labels …
# this is the file of string literals literal0: .string "mixture expression: d = a+b*c-(30+10)/10 = " len0 = . - literal0
%DEMGMM1 Demonstrate EM for Gaussian mixtures. % % Description % This script demonstrates the use of the EM algorithm to fit a mix…
%DEMGMM3 Demonstrate density modelling with a Gaussian mixture model. % % Description % The problem consists of modelling data ge…
function g = demgpot(x, mix) %DEMGPOT Computes the gradient of the negative log likelihood for a mixture model. % % Description % …
function p = gmmpak(mix) %GMMPAK Combines all the parameters in a Gaussian mixture model into one vector. % % Description % P = GM…