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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.

copied from cf-post-staging / r-fastcluster
Type Size Name Uploaded Downloads Labels
conda 209.0 kB | win-64/r-fastcluster-1.2.2-r40hfa435f1_0.tar.bz2  5 years and 2 days ago 824 main
conda 206.4 kB | win-64/r-fastcluster-1.2.2-r41hfa435f1_0.tar.bz2  5 years and 2 days ago 819 main
conda 200.1 kB | osx-64/r-fastcluster-1.2.2-r40he49afe7_0.tar.bz2  5 years and 2 days ago 153 main
conda 200.2 kB | osx-64/r-fastcluster-1.2.2-r41he49afe7_0.tar.bz2  5 years and 2 days ago 150 main
conda 204.6 kB | linux-64/r-fastcluster-1.2.2-r41h9c3ff4c_0.tar.bz2  5 years and 2 days ago 3387 main
conda 204.7 kB | linux-64/r-fastcluster-1.2.2-r40h9c3ff4c_0.tar.bz2  5 years and 2 days ago 3303 main

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