Clustering algorithms using stochastic analysis and ensemble techniques.
Aggregation(item_group,cluster_group,agg_dict)
A class for describing partitions of Indices into clusters.
Hierarchy(items_idx,cluster_idx,cluster_children)
A class for describing a hierarchical clustering.
Contains functions providing basic clustering techniques motivated by stochastic analysis.
Contains functions providing calculation of basic distance metrics from raw data.
Contains functions for generating ensembles from data and calculating clusters over ensembles.
Contains functions for generating example data.
Contains some pre-defined regulators and halting
conditions for use in the markov_random_walk
method.
Will contain functions for generating random walks of various types. For now, only contains regulated Markovian walks.
Contains miscellaneous useful functions.
Contains functions for visualizing data and clusters.