Background#R##N#Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers. This makes clustering challenging. Mixtures are versatile and powerful statistical models which perform robustly for clustering in the presence of noise and have been successfully applied in a wide range of applications.
['Benjamin Georgi', 'Ivan G. Costa', 'Alexander Schliep']
PyMix--the python mixture package--a tool for clustering of heterogeneous biological data.