
doi.org/10.32614/CRAN.package.fastcluster
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fastcluster: Fast Hierarchical Clustering Routines for R and 'Python'
This is a two-in-one package which provides interfaces to both R and 'Python'. It implements fast hierarchical, agglomerative clustering routines. Part of the functionality is designed as drop-in replacement for existing routines: linkage() in the 'SciPy' package 'scipy.cluster.hierarchy', hclust() in R's 'stats' package, and the 'flashClust' package. It provides the same functionality with the benefit of a much faster implementation. Moreover, there are memory-saving routines for clustering of vector data, which go beyond what the existing packages provide. For information on how to install the 'Python' files, see the file INSTALL in the source distribution. Based on the present package, Christoph Dalitz also wrote a pure 'C++' interface to 'fastcluster': <<a href="https://lionel.kr.hs-niederrhein.de/~dalitz/data/hclust/" target="_top">https://lionel.kr.hs-niederrhein.de/~dalitz/data/hclust/</a>>.
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fastcluster: Fast Hierarchical Clustering Routines for R and 'Python'
This is a two-in-one package which provides interfaces to both R and 'Python'. It implements fast hierarchical, agglomerative clustering routines. Part of the functionality is designed as drop-in replacement for existing routines: linkage() in the 'SciPy' package 'scipy.cluster.hierarchy', hclust() in R's 'stats' package, and the 'flashClust' package. It provides the same functionality with the benefit of a much faster implementation. Moreover, there are memory-saving routines for clustering of vector data, which go beyond what the existing packages provide. For information on how to install the 'Python' files, see the file INSTALL in the source distribution. Based on the present package, Christoph Dalitz also wrote a pure 'C++' interface to 'fastcluster': <<a href="https://lionel.kr.hs-niederrhein.de/~dalitz/data/hclust/" target="_top">https://lionel.kr.hs-niederrhein.de/~dalitz/data/hclust/</a>>.
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fastcluster: Fast Hierarchical Clustering Routines for R and 'Python'
This is a two-in-one package which provides interfaces to both R and 'Python'. It implements fast hierarchical, agglomerative clustering routines. Part of the functionality is designed as drop-in replacement for existing routines: linkage() in the 'SciPy' package 'scipy.cluster.hierarchy', hclust() in R's 'stats' package, and the 'flashClust' package. It provides the same functionality with the benefit of a much faster implementation. Moreover, there are memory-saving routines for clustering of vector data, which go beyond what the existing packages provide. For information on how to install the 'Python' files, see the file INSTALL in the source distribution. Based on the present package, Christoph Dalitz also wrote a pure 'C++' interface to 'fastcluster': <<a href="https://lionel.kr.hs-niederrhein.de/~dalitz/data/hclust/" target="_top">https://lionel.kr.hs-niederrhein.de/~dalitz/data/hclust/</a>>.
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9- titleCRAN: Package fastcluster
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- citation_titleFast Hierarchical Clustering Routines for R and 'Python' [R package fastcluster version 1.3.0]
- citation_authorDaniel Müllner
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5- og:titlefastcluster: Fast Hierarchical Clustering Routines for R and 'Python'
- og:descriptionThis is a two-in-one package which provides interfaces to both R and 'Python'. It implements fast hierarchical, agglomerative clustering routines. Part of the functionality is designed as drop-in replacement for existing routines: linkage() in the 'SciPy' package 'scipy.cluster.hierarchy', hclust() in R's 'stats' package, and the 'flashClust' package. It provides the same functionality with the benefit of a much faster implementation. Moreover, there are memory-saving routines for clustering of vector data, which go beyond what the existing packages provide. For information on how to install the 'Python' files, see the file INSTALL in the source distribution. Based on the present package, Christoph Dalitz also wrote a pure 'C++' interface to 'fastcluster': <<a href="https://lionel.kr.hs-niederrhein.de/~dalitz/data/hclust/" target="_top">https://lionel.kr.hs-niederrhein.de/~dalitz/data/hclust/</a>>.
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