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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  4 years and 10 months ago 818 main
conda 206.4 kB | win-64/r-fastcluster-1.2.2-r41hfa435f1_0.tar.bz2  4 years and 10 months ago 813 main
conda 200.1 kB | osx-64/r-fastcluster-1.2.2-r40he49afe7_0.tar.bz2  4 years and 10 months ago 151 main
conda 200.2 kB | osx-64/r-fastcluster-1.2.2-r41he49afe7_0.tar.bz2  4 years and 10 months ago 148 main
conda 204.6 kB | linux-64/r-fastcluster-1.2.2-r41h9c3ff4c_0.tar.bz2  4 years and 10 months ago 3263 main
conda 204.7 kB | linux-64/r-fastcluster-1.2.2-r40h9c3ff4c_0.tar.bz2  4 years and 10 months ago 3191 main

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