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Mini-Projects for MPhil in Scientific Computing at Cambridge

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Brian-Azizi/Clustering-Algorithms

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Mini-Projects

Mini-Projects for MPhil in Scientific Computing, University of Cambridge

Implement and compare different methods for clustering:

  1. K-Means
  2. Mixture of Gaussians
  3. Dirichlet Process Mixture Model

The DPM in particular is very exciting. Implementation uses a Gaussian Likelihood and a Normal-Inverse-Wishart prior. Sampling is done using "Algorithm 2" in Neal(2000).

Written in C++ using the Armadillo library. Prototyped in Matlab.

Tested on various data sets

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