fastcluster: Fast Hierarchical, Agglomerative Clustering Routines forRandPython | Zendy

Daniel Müllner | Zendy

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fastcluster: Fast Hierarchical, Agglomerative Clustering Routines forRandPython

Author(s) -

Daniel Müllner

Publication year - 2013

Publication title -

journal of statistical software

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 7.636

H-Index - 145

ISSN - 1548-7660

DOI - 10.18637/jss.v053.i09

Subject(s) - python (programming language) , computer science , hierarchical clustering , cluster analysis , matlab , implementation , software , r package , parallel computing , data mining , theoretical computer science , programming language , artificial intelligence

The fastcluster package is a C++ library for hierarchical, agglomerative clustering. It provides a fast implementation of the most efficient, current algorithms when the input is a dissimilarity index. Moreover, it features memory-saving routines for hierarchical clustering of vector data. It improves both asymptotic time complexity (in most cases) and practical performance (in all cases) compared to the existing implementations in standard software: several R packages, MATLAB, Mathematica, Python with SciPy.

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