Result for F4E890B0F641D1B0C592A7690BFC493C00A06229

Query result

Key Value
FileName./usr/share/doc/packages/python3-fastcluster/README.txt
FileSize6783
MD57E98D8BC50A74CB324DBAE2AC48CDBBD
SHA-1F4E890B0F641D1B0C592A7690BFC493C00A06229
SHA-256ABA0CDF404BD6D1E9D5334BE6970D9B598AAD875CB8E930589A00F301F013AC2
SSDEEP96:d0Lj0cbenOimiDKh/q2m1STjA9R4IuZdi2jlTBF8XV9m2NeiTO9T6mw6:uX0GenvX7sTM9iIu7cV9/M9T06
TLSHT1C2E175367744037B8E539591BD0ED1EAEB0960FB612319C1682C4124A71B97FA773FCA
hashlookup:parent-total35
hashlookup:trust100

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Parents (Total: 35)

The searched file hash is included in 35 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
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
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
Key Value
MD5713F6ED7278225FF5767A0DD9AF407F8
PackageArchs390x
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
PackageRelease14.16
PackageVersion1.2.0
SHA-130B1C5AE27662B05DF3485C3ACC8D4E4AD2448CC
SHA-256CF527085ED8D380496D0B81D09DC39D634CE515F65636878A1527EE2FF10FAAF
Key Value
MD568BC2D7F4F08461EEE4DE0E9EC9E11CA
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
PackageNamepython39-fastcluster
PackageRelease1.4
PackageVersion1.2.0
SHA-1346F602AEE3E170EC991498755B3BF552DBA12CC
SHA-2560B7FA87BBDFD0F655FD2E5292ABA650F4FAC9541BBBDDC5116F085A09DA1950A
Key Value
MD54E6DE645AB8D533C64A1F230CB0A4C05
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
PackageReleasebp154.1.54
PackageVersion1.1.26
SHA-13817607609E4BB8C08687033F0CDA9DB36E9E8FA
SHA-256BE4E35E9C03F951DE9CE5355114061D2131559D6D4D5F0E95FCE945DA18B2C13