pyclustering 0.9.2

pyclustering 0.9.2 library is a collection of clustering algorithms and methods, oscillatory networks, etc. GENERAL CHANGES: Introduced checking of input arguments for clustering algorithm to provide human-readable errors (pyclustering.cluster). See: https://github.com/annoviko/pyclustering/issues/548 Implemented functionality to perform Anderson-Darling test for Gaussian distribution (ccore.stats). See: https://github.com/annoviko/pyclustering/issues/550 Implemented new clustering algorithm G-Means (pyclustering.cluster.gmeans, ccore.clst.gmeans). See: https://github.com/annoviko/pyclustering/issues/506 Introduced parameter repeat to improve parameters in X-Means algorithm (pyclustering.cluster.xmeans, ccore.clst.xmeans). See: https://github.com/annoviko/pyclustering/issues/525 Introduced new distance metric: Gower (pyclustering.utils.metric, ccore.utils.metric). See: https://github.com/annoviko/pyclustering/issues/544 Introduced sampling algorithms reservoir_r and reservoir_x (pyclustering.utils.sampling). See: https://github.com/annoviko/pyclustering/issues/542 Introduced parameter data_type to Silhouette method to use distance matrix (pyclustering.cluster.silhouette, ccore.clst.silhouette). See: https://github.com/annoviko/pyclustering/issues/543 Optimization of HHN (Hodgkin-Huxley Neural Network) by parallel processing (ccore.nnet.hhn). See: https://github.com/annoviko/pyclustering/issues/541 Introduced get_total_wce method for xmeans algorithm to find WCE (pyclustering.cluster.xmeans). See: https://github.com/annoviko/pyclustering/issues/508 CORRECTED MAJOR BUGS: Incorrect center initialization in K-Means++ when candidates are not farthest (pyclustering.cluster.center_initializer). See: https://github.com/annoviko/pyclustering/issues/54