Parents (Total: 5)

The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	3F0D0D402C1649501201BFD37756777F
PackageArch	x86_64
PackageDescription	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.
PackageName	python3-fastcluster
PackageRelease	lp152.2.1
PackageVersion	1.1.28
SHA-1	0243F7CF0FF731C8EC8B783151B1B31112B5B98F
SHA-256	DD51D52E23EF86931890ECA9BDFE4B63C41C513287112CD38BC4C509F3EBD608

Key	Value
MD5	F1606CA3978C04DEACD37E02575EB8C7
PackageArch	x86_64
PackageDescription	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.
PackageName	python3-fastcluster
PackageRelease	2.1
PackageVersion	1.1.28
SHA-1	C69FC17DE563FF92AD5353B8560310C202FC55FE
SHA-256	321AAE863383E88277422FEDC36AA3A24C1622BB24694713E4F2201696CF2B7C

Key	Value
MD5	52D908B343FD09678B58233AC0836405
PackageArch	x86_64
PackageDescription	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.
PackageName	python3-fastcluster
PackageRelease	2.1
PackageVersion	1.1.28
SHA-1	C19FCE3D31BB30906200B6F638F05E053E574711
SHA-256	2B15149ED91E20A45DBBAE5A2BE390C37203D50F2B2F4618C2B87D9A1A8483A6

Key	Value
MD5	773F5223B0BFCD54FF84F64539EA9BAB
PackageArch	x86_64
PackageDescription	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.
PackageName	python3-fastcluster
PackageRelease	lp153.2.1
PackageVersion	1.1.28
SHA-1	72B248BF8A22FFA04646F79BF3841F7E18117DE6
SHA-256	5D904C52DB145C090C0B7CA4FB20ADB37B48992BB47F92CA5851151AD65677D8

Key	Value
MD5	CF41164CB550EF80D4AD50C060836F99
PackageArch	x86_64
PackageDescription	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.
PackageName	python3-fastcluster
PackageRelease	lp152.12.1
PackageVersion	1.1.28
SHA-1	38DD3C5E0E1CE8896D593F0CD9059A709A96F570
SHA-256	8B92B21A627F73AA40CB4805542DBC67E1C052AC48C24FF6CBF86DA39F209A6B