Clustering

PyPR currently has support for two clustering methods: K-means and Expectation Maximization of Mixtures of Gaussians (MoG). The K-means is the simple of the two, and takes an non-probalistic approach to clustering unlike the MoG.

Contents:

• K-Means
  • K-Means Example
  • Application Programming Interface
• Gaussian Mixture Models
  • Sampling and Probability Density Function
  • Expectation Maximization
  • Condtional and marginal distributions
  • Application Programming Interface