pyclustering 0.9.0

pyclustering 0.9.0 library is a collection of clustering algorithms and methods, oscillatory networks, neural networks, etc.

GENERAL CHANGES:

• CCORE (pyclustering core) is supported for MacOS. See: https://github.com/annoviko/pyclustering/issues/486

• Introduced parallel Fuzzy C-Means algorithm (pyclustering.cluster.fcm, ccore.clst.fcm). See: https://github.com/annoviko/pyclustering/issues/386

• Introduced new 'itermax' parameter for K-Means, K-Medians, K-Medoids algorithm to control maximum amount of iterations (pyclustering.cluster, ccore.clst). See: https://github.com/annoviko/pyclustering/issues/496

• Implemented Silhouette and Silhouette K-Search algorithm for CCORE (ccore.clst.silhouette, ccore.clst.silhouette_ksearch). See: https://github.com/annoviko/pyclustering/issues/490

• Implemented CLIQUE algorithms (pyclustering.cluster.clique, ccore.clst.clique). See: https://github.com/annoviko/pyclustering/issues/381

• Introduced new distance metrics: Canberra and Chi Square (pyclustering.utils.metric, ccore.utils.metric). See: https://github.com/annoviko/pyclustering/issues/482

• Optimization of CURE algorithm (C++ implementation) by using heap (multiset) instead of list to store clusters in queue (ccore.clst.cure). See: https://github.com/annoviko/pyclustering/issues/479

CORRECTED MAJOR BUGS:

• Bug with crossover mask generation for genetic clustering algorithm (pyclustering.cluster.ga). See: https://github.com/annoviko/pyclustering/pull/474

• Bug with hanging of K-Medians algorithm for some cases when algorithm is initialized by wrong amount of centers (ccore.clst.kmedians). See: https://github.com/annoviko/pyclustering/issues/498

• Bug with incorrect center initialization, when the same point can be placed to result more than once (pyclustering.cluster.center_initializer, ccore.clst.kmeans_plus_plus). See: https://github.com/annoviko/pyclustering/issues/497

• Bug with incorrect clustering in case of CURE python implementation when clusters are allocated incorrectly (pyclustering.cluster.cure). See: https://github.com/annoviko/pyclustering/issues/483

• Bug with incorrect distance calculation for kmeans++ in case of index representation for centers (pyclustering.cluster.center_initializer). See: https://github.com/annoviko/pyclustering/issues/485