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%PREX_DENSITY Various density plots % % Prtools example to show the use of density estimators and how to % visualize them. help p…
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…
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源码文件
%GAUSSM Mixture of Gaussians density estimate % % W = GAUSSM(A,K) % W = A*GAUSSM([],K); % % INPUT % A Dataset % K Number…
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function [mixture1 likelihood] = EStep(mixture, pixels) % EStep perform the E-step of the EM algorithm % 1) calculate…
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function mixture1=ClusterNormalize(mixture) s = sum([mixture.cluster(:).pb]); for k=1:mixture.K mixture.cluster(k…
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function mixture = initMixture(pixels, K) % Initialize the parameters for each class and the mixing parameters cluster(k).pb […
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function mixture1 = MStep(mixture, pixels) % MStep perform the M-step of the EM algorithm % from the pnk calculated i…
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function [mixture, optmixture,toc] = GaussianMixture(pixels, initK, finalK, verbose) % [mixture, optmixture] = GaussianMixture(pi…
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function classes = SplitClasses(mixture) % classes = SplitClasses(mixture) % SplitClasses splits the Gaussian mixture with K …
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function mixture1 = EMIterate(mixture, pixels) % mixture1 = EMIterate(mixture, pixels) % perform the EM algorithm with a pre…
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function [mixture, optmixture] = GaussianMixture(pixels, initK, finalK, verbose) % [mixture, optmixture] = GaussianMixture(pixels…