libcluster 2.3

Daniel Steinberg — Sat, 27 Feb 2016 00:36:01 -0000

This library implements the following algorithms and functions in C++ with python (2.7 and 3) and C++ interfaces:

The variational Dirichlet process (VDP)
The Bayesian Gaussian mixture model (BGMM)
Gaussian latent Dirichlet allocation (LDA with Gaussian observations)
Simultaneous Clustering Model (SCM) for Multinomial Documents, and Gaussian Observations
Multiple-source Clustering Model (MCM) for clustering two observations, one of an image/document, and multiple of segments/words simultaneously
And more clustering algorithms based on diagonal Gaussian, and Exponential distributions
It is a template-based library, and so new algorithms can be defined by creating new distribution objects
Various functions for evaluating means, standard deviations, covariance, primary Eigenvalues etc of data

mloss.org libcluster