CLUSTERING THROUGH OPTIMAL BAYESIAN CLASSIFICATION (Scripts) Publisher's description
A new soft clustering algorithm is presented (Clustering through Optimal Bayesian Classification)
A new soft clustering algorithm is presented (Clustering through Optimal Bayesian Classification). The algorithm does not depend on random initializations, and it contains a native metric to select the optimal number of clusters.
The clustering algorithm minimizes the log-Bayesian risk (classification error) which can be expressed from the soft cluster assignment. The log-Bayesian risk is given as an optimization functional to perform the clustering. An Expectation-Maximization-like algorithm is proposed in order to minimize the proposed functional.
CPU and GPU implementations are included.
System Requirements:MATLAB 7.13 (2011b)
Program Release Status: New Release
Program Install Support: Install and Uninstall