Result for 121549A2BD712831A9C9C4570778C14A4B718AE9

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/arm-linux-ghc-8.4.4/hierarchical-clustering-0.4.6-7tQor1K9sA55dvOXBCHmnG/Data/Clustering/Hierarchical/Internal/Optimal.dyn_hi
FileSize7081
MD5EEF0169D9B851B8262EF3BC649DF97C0
SHA-1121549A2BD712831A9C9C4570778C14A4B718AE9
SHA-2563828692B196067E7502687EA45D5ED859BC2759DEA46981FE75E81E3B0D6C0CB
SSDEEP96:bxm/8QgqAlBacsDnxz+uzKKhk7ju2SnUNJ5Q5YDSSmz2Lht0maYOo:lm/TgZgp+uu+nUNJ5uYDSSmqLhtT
TLSHT1B4E1655EDF4AD92AE5185835C67743043B30D7D0A98A6F4310D0B1788CA7EE87F52B5C
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize96588
MD590F7AECCE3E246AF56E28E3D2DC6DC08
PackageDescriptionfast algorithms for single, average/UPGMA and complete linkage clustering This package provides a function to create a dendrogram from a list of items and a distance function between them. Initially a singleton cluster is created for each item, and then new, bigger clusters are created by merging the two clusters with least distance between them. The distance between two clusters is calculated according to the linkage type. The dendrogram represents not only the clusters but also the order on which they were created. . This package has many implementations with different performance characteristics. There are SLINK and CLINK algorithm implementations that are optimal in both space and time. There are also naive implementations using a distance matrix. Using the dendrogram function from Data.Clustering.Hierarchical automatically chooses the best implementation we have. . This package provides a library for the Haskell programming language. See http://www.haskell.org/ for more information on Haskell.
PackageMaintainerDebian Haskell Group <pkg-haskell-maintainers@lists.alioth.debian.org>
PackageNamelibghc-hierarchical-clustering-dev
PackageSectionhaskell
PackageVersion0.4.6-5+b3
SHA-192E3F23E141F6601314EF92290F06827F7E29144
SHA-2567E167B5D51A8F076304B1D4E0FD8597FBB8F39526F05313FED7DC1709468B7BA
Key Value
FileSize93360
MD57C41FCFFD70D45DBBDB1B02589576C16
PackageDescriptionfast algorithms for single, average/UPGMA and complete linkage clustering This package provides a function to create a dendrogram from a list of items and a distance function between them. Initially a singleton cluster is created for each item, and then new, bigger clusters are created by merging the two clusters with least distance between them. The distance between two clusters is calculated according to the linkage type. The dendrogram represents not only the clusters but also the order on which they were created. . This package has many implementations with different performance characteristics. There are SLINK and CLINK algorithm implementations that are optimal in both space and time. There are also naive implementations using a distance matrix. Using the dendrogram function from Data.Clustering.Hierarchical automatically chooses the best implementation we have. . This package provides a library for the Haskell programming language. See http://www.haskell.org/ for more information on Haskell.
PackageMaintainerDebian Haskell Group <pkg-haskell-maintainers@lists.alioth.debian.org>
PackageNamelibghc-hierarchical-clustering-dev
PackageSectionhaskell
PackageVersion0.4.6-5+b2
SHA-1E7057315B3706F60299C23809D3B45DC882322A0
SHA-2560D55FA775FB65437A6155232024F7C83BBDC606D30690761574452E7D36D70E5