pyclustering 0.9.2 release

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: #548

• Implemented functionality to perform Anderson-Darling test for Gaussian distribution (ccore.stats).
  See: #550

• Implemented new clustering algorithm G-Means (pyclustering.cluster.gmeans, ccore.clst.gmeans).
  See: #506

• Introduced parameter repeat to improve parameters in X-Means algorithm (pyclustering.cluster.xmeans, ccore.clst.xmeans).
  See: #525

• Introduced new distance metric: Gower (pyclustering.utils.metric, ccore.utils.metric).
  See: #544

• Introduced sampling algorithms reservoir_r and reservoir_x (pyclustering.utils.sampling).
  See: #542

• Introduced parameter data_type to Silhouette method to use distance matrix (pyclustering.cluster.silhouette, ccore.clst.silhouette).
  See: #543

• Optimization of HHN (Hodgkin-Huxley Neural Network) by parallel processing (ccore.nnet.hhn).
  See: #541

• Introduced get_total_wce method for xmeans algorithm to find WCE (pyclustering.cluster.xmeans).
  See: #508

CORRECTED MAJOR BUGS:

• Incorrect center initialization in K-Means++ when candidates are not farthest (pyclustering.cluster.center_initializer).
  See: #549