Result for 64FC15F3BDB06ED6E2FC66989E266C764F4DAE19

Query result

Key Value
FileName./usr/lib64/python3.9/site-packages/fastcluster-1.2.4-py3.9.egg-info/SOURCES.txt
FileSize484
MD5A596E83668BC6950F6EDA411F95A2F51
SHA-164FC15F3BDB06ED6E2FC66989E266C764F4DAE19
SHA-256244B0994D7E232A8BEFBEABB88A722F031A39641D870BA1B91EC78C09D32985D
SSDEEP6:6Zqzv+MVS8UtlTB0QPmN83J7xRKWTKWuRBHKWMEZJVHKWERdHKWv54ZFWW3DcR9h:YY5UtdB0QPmN8f8UzWQ/PkfBkl
TLSHT133F0BEF3520E71422E11FD95891E47B1F893E2A3A80EECD363D802809243F67F659625
hashlookup:parent-total9
hashlookup:trust95

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Parents (Total: 9)

The searched file hash is included in 9 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5BEFA8A6FBA2E07F93C3D4D3DD667FBB8
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.
PackageNamepython38-fastcluster
PackageRelease15.2
PackageVersion1.2.4
SHA-158DDD1A451B0D01952BA6EB3DE3292C76E1A22C2
SHA-2569932CBB301858945C216330218D3EAED55B28872907CA54732CBC1F2879C9ED3
Key Value
MD5474205952A4050EB000CD90044668B5B
PackageArcharmv7hl
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
PackageRelease15.1
PackageVersion1.2.4
SHA-1F80C2BEFD535399EF3ECE558E877624B0AC8A0ED
SHA-256979EA619DA86CAA3CE94176F6EAA84A055A6C3B1DF05BE2363A556E9FDDC2E32
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
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
MD5CF149AF5533064C9AEF8349147B4183C
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.
PackageNamepython39-fastcluster
PackageRelease15.2
PackageVersion1.2.4
SHA-18FFF187F2545E4B989316DFEDD985E95CD94C3E4
SHA-25619BE02E99F6F6099EC02AE36AF9FABFF49720FD66EEF79716BC36EA60E513BC5
Key Value
MD53E8B6F033610E0094E8E143E2C65E9D3
PackageArcharmv7hl
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
PackageRelease15.1
PackageVersion1.2.4
SHA-1F9488374C999FBEB703BDD82C0F313F7076402B9
SHA-256D83F9F1F48959A8DB47BE39421E269E78DD52C63FF8725D7CEB58FC8779A1B1C
Key Value
MD5BC18C5459193907A223A709A938065EB
PackageArcharmv7hl
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.
PackageNamepython39-fastcluster
PackageRelease15.1
PackageVersion1.2.4
SHA-163FB962BDF5A2ACCAED04C8365DD281233C5F605
SHA-256C5D50D4015B4DE4C741370319099DEA99A98389161FF190A889E4CEE81ED14C3
Key Value
MD5BD84D3726C627A7BD8B708265480EC25
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.
PackageNamepython39-fastcluster
PackageRelease15.2
PackageVersion1.2.4
SHA-1B37689E29425548BF4FBFE73E3AFF2E529A6F154
SHA-256BEF52538FF6D0BC3D86258FDF6B2C4CF5B6698FB856FD10886352135893DD889
Key Value
MD502FAC20F900949139D8B132210618E23
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.
PackageNamepython310-fastcluster
PackageRelease15.2
PackageVersion1.2.4
SHA-1394EE90A4EF120A12A61D3DE709DB10B7EAB7378
SHA-2563DDD463D51CBF31D8D29D98BF18E78A0C36CB632D5A8D9F39A6EA84E3D0EDAE7