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Gaussian-Mixture-Model

Gaussian Mixture Model

This code implement the learning step of Gaussian Mixture Models, a statistical clustering model.

  • Input: 20-news-groups processed documents, with each document is represented by a list of its words.
  • Output: Cluster them into different groups.
  • Ideas: Suppose each document is a multivariate random variable generated from a random process. Decode that process, we will find the way to group them. The details of this method is described in file document.pdf

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