Metadata-Version: 1.1
Name: fastcluster
Version: 1.1.9
Summary: Fast hierarchical clustering routines for R and Python.
Home-page: http://math.stanford.edu/~muellner
Author: Daniel Müllner
Author-email: fastcluster@math.stanford.edu
License: BSD <http://opensource.org/licenses/BSD-2-Clause>
Description: 
        This library provides Python functions for hierarchical clustering. It generates hierarchical clusters from distance matrices or from vector data.
        
        Part of this module is intended to replace the functions
        
            linkage, single, complete, average, weighted, centroid, median, ward
        
        in the module scipy.cluster.hierarchy with the same functionality but much faster algorithms. Moreover, the function 'linkage_vector' provides memory-efficient clustering for vector data.
        
        The interface is very similar to MATLAB's Statistics Toolbox API to make code easier to port from MATLAB to Python/Numpy. The core implementation of this library is in C++ for efficiency.
        
Keywords: dendrogram,linkage,cluster,agglomerative,hierarchical,hierarchy,ward
Platform: UNKNOWN
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: C++
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: BSD License
Classifier: Intended Audience :: Science/Research
Classifier: Development Status :: 5 - Production/Stable
