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Mathieu’s log » Blog Archive » Latent Dirichlet Allocation in Python
Like Latent Semantic Analysis (LSA) and probabilistic LSA (pLSA) – see my previous post “LSA and pLSA in Python“, Latent Dirichlet Allocation (LDA) is an algorithm which, given a collection of documents and nothing more (no supervision needed), can uncover the “topics” expressed by documents in that collection. LDA can be seen as a Bayesian extension of pLSA. As Blei, the author of LDA, points ou
Gibbs sampling - Wikipedia
In statistics, Gibbs sampling or a Gibbs sampler is a Markov chain Monte Carlo (MCMC) algorithm for sampling from a specified multivariate probability distribution when direct sampling from the joint distribution is difficult, but sampling from the conditional distribution is more practical. This sequence can be used to approximate the joint distribution (e.g., to generate a histogram of the distr
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http://www.arbylon.net/projects/LdaGibbsSampler.java
A simple Gibbs sampler
Gibbs
