Result for 71DE780EC302C88AAD107861A0ABCA494E72A683

Query result

Key Value
FileName./usr/share/licenses/python3-fastcluster/COPYING.txt
FileSize1428
MD5F4ABEC074FD2A5F5DF26D4EA11206493
SHA-171DE780EC302C88AAD107861A0ABCA494E72A683
SHA-25676EA565C34C521CA75B8F1AA31C3D7A16E6CC27F1ADE0961D2D52E761BE67C46
SSDEEP24:y6UQ+cBUnezol+bOOrYFTQ+JYrYFTzL790432smEOkus8WROL32s3yxtTfy13tTU:y/LMOOrYJMrYJzF0432sBG32s3Etm13m
TLSHT13221549B17804BAB99D25BC136E4BEC4B18DD03E3A236D05186AF345537B02ED8BB051
hashlookup:parent-total53
hashlookup:trust100

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Parents (Total: 53)

The searched file hash is included in 53 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD53F0D0D402C1649501201BFD37756777F
PackageArchx86_64
PackageDescriptionThis 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.
PackageNamepython3-fastcluster
PackageReleaselp152.2.1
PackageVersion1.1.28
SHA-10243F7CF0FF731C8EC8B783151B1B31112B5B98F
SHA-256DD51D52E23EF86931890ECA9BDFE4B63C41C513287112CD38BC4C509F3EBD608
Key Value
MD585715BF2F5AB4FEE5BCFFB815951D467
PackageArchx86_64
PackageDescriptionThis 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': <https://lionel.kr.hs-niederrhein.de/~dalitz/data/hclust/>.
PackageNameR-fastcluster
PackageReleaselp153.1.2
PackageVersion1.2.3
SHA-102BC16904A94F259DD3C1842E25193A08CDC7161
SHA-25613794DF7333678E2A62F43A54D4E62FCE8CB42D41F75E31CCAB4E3403AB9EF3E
Key Value
MD5BA7890ADB6AE711A6688882627E88676
PackageArchi586
PackageDescriptionThis 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.
PackageNamepython310-fastcluster
PackageRelease15.2
PackageVersion1.2.4
SHA-105257C0533F68466BD1E58BF124B117B58238B62
SHA-256340C7936E0D59219000737DE1E8E4DE7C00DF322315BADA40147596BF63EDA62
Key Value
MD553CDBC022366D74D51552F1C7412099D
PackageArchx86_64
PackageDescriptionThis 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.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-fastcluster
PackageReleasebp155.2.13
PackageVersion1.1.26
SHA-10E12E56D2EE439926D6E3FF5B6EFC112CC6A2786
SHA-2560B33479FB84B4D2D499E45A9E31003B3B7BD7DB61E4939A6CE23055657C7F687
Key Value
MD50CA48D34DCE0C68B8ADD8867C2B671A8
PackageArchx86_64
PackageDescriptionThis 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.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython39-fastcluster
PackageRelease1.4
PackageVersion1.2.0
SHA-10EDCFF7B8597EEF5B04AB5F80FB2F31A6603DAA2
SHA-256D69CD9BC6B92C46149C414EA7CB80958294DB703E527E9000E7E01000736A8D1
Key Value
MD5323A812256F132C424325AD64C38A87D
PackageArchi586
PackageDescriptionThis 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.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython38-fastcluster
PackageRelease1.4
PackageVersion1.2.0
SHA-1119218DE7262DBE1962973E892819C553D27D23A
SHA-2568335A4792C157F9F65FAA0A49A267B77E2198654BAE74760791E3B53A6EE3156
Key Value
MD5B028F580C1991A6087165CBF3A140024
PackageArchx86_64
PackageDescriptionThis 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.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-fastcluster
PackageReleaselp152.1.3
PackageVersion1.1.26
SHA-1128771AF2ED75AB8B59144ED0AA6DFCE515F2ABF
SHA-25679469BA9B6809F165D4692B2E4260C54A4AE3F526B4FD90A010ED5CAAB0DF298
Key Value
MD51C31F06057ADDE31ACA679C4CE9AA870
PackageArchx86_64
PackageDescriptionThis 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.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython2-fastcluster
PackageReleaselp152.1.3
PackageVersion1.1.26
SHA-121EDE224382E827D6A62EE8C7FDBBFDB8AC9705F
SHA-2562C409615D38699C9D07A0FBE3565C2D4C22C0527D08C68B3FC6C2CA80EB88A41
Key Value
MD5420A43F56A495DFD4EB8C294C2DFCF73
PackageArchi586
PackageDescriptionThis 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.
PackageNamepython38-fastcluster
PackageRelease15.2
PackageVersion1.2.4
SHA-1266B84E4890DF050B3ED0200E988790CB8DE2FFD
SHA-2562C5A19AF29FFB9744BBD23E5BBF258CBAA956F56A7B962BD6E3FDBB16311AD6B
Key Value
MD51DB3B9113897640D7D8BCA252EA13107
PackageArchi586
PackageDescriptionThis 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.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython310-fastcluster
PackageRelease1.4
PackageVersion1.2.0
SHA-12AB38512ABC7CC8BC29C562A09E330F4E70081A9
SHA-256220DD8723CF89DB15A8C1BDA1EFFA7F51B436862E8C0B7ED9A8AE81AA55EF8DC