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| PackageDescription | Fast hierarchical clustering routines for GNU R Fastcluster 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. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | r-cran-fastcluster |
| PackageSection | gnu-r |
| PackageVersion | 1.1.16-2 |
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| PackageDescription | Fast hierarchical clustering routines for Python This library provides Python functions for hierarchical clustering. It generates hierarchical clusters from distance matrices or from vector data. . Part of this module is intended to replace the functions . linkage, single, complete, average, weighted, centroid, median, ward . in the module scipy.cluster.hierarchy with the same functionality but much faster algorithms. Moreover, the function 'linkage_vector' provides memory-efficient clustering for vector data. . The interface is very similar to MATLAB's Statistics Toolbox API to make code easier to port from MATLAB to Python/Numpy. The core implementation of this library is in C++ for efficiency. . This package provides the package's Python interface. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | python-fastcluster |
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| PackageDescription | Fast hierarchical clustering routines for Python 3 This library provides Python functions for hierarchical clustering. It generates hierarchical clusters from distance matrices or from vector data. . Part of this module is intended to replace the functions . linkage, single, complete, average, weighted, centroid, median, ward . in the module scipy.cluster.hierarchy with the same functionality but much faster algorithms. Moreover, the function 'linkage_vector' provides memory-efficient clustering for vector data. . The interface is very similar to MATLAB's Statistics Toolbox API to make code easier to port from MATLAB to Python/Numpy. The core implementation of this library is in C++ for efficiency. . This package provides the package's Python 3 interface. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
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| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
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