Metadata-Version: 1.1
Name: Cluster-Ensembles
Version: 1.14
Summary: A package for determining the consensus clustering from an ensemble of partitions
Home-page: https://github.com/GGiecold/Cluster_Ensembles
Author: Gregory Giecold
Author-email: ggiecold@jimmy.harvard.edu
License: MIT License
Download-URL: https://github.com/GGiecold/Cluster_Ensembles
Description: Cluster\_Ensembles
        ==================
        
        A package for combining multiple partitions into a consolidated
        clustering. The combinatorial optimization problem of obtaining such a
        consensus clustering is reformulated in terms of approximation
        algorithms for graph or hyper-graph partitioning.
        
Keywords: aggregation clustering consensus consensus-clustering CSPA data-mining ensemble ensemble-clustering HGPA hyper-graph machine-learning MCLA partition pattern-recognition unsupervised-learning
Platform: Any
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX
Classifier: Programming Language :: C
Classifier: Programming Language :: Python :: 2.7
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Scientific/Engineering :: Mathematics
