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About DP Tutorial 2
The document discusses Dirichlet processes and their use in clustering unlabeled data. Dirichlet processes allow modeling an unknown number of mixture components in a data set. The document covers the motivation for using Dirichlet processes, provides an overview of key concepts like the Chinese restaurant process, and discusses inference methods like Markov chain Monte Carlo sampling.
Detailed Information
| Author: | ['justdls'] |
|---|---|
| Publication Year: | 2014 |
| Pages: | 44 |
| Language: | English |
| Format: | |
| Price: | FREE |
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