Result for AF872813F93130E3A66EFD1EDC8E4A547BBA7509

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/mips-linux-ghc-8.4.4/hierarchical-clustering-0.4.6-7tQor1K9sA55dvOXBCHmnG/Data/Clustering/Hierarchical/Internal/Optimal.hi
FileSize7073
MD51A0660BA2FE4ADF959835E1AAFF23037
SHA-1AF872813F93130E3A66EFD1EDC8E4A547BBA7509
SHA-256762D74D23BE91211BD33A4969C6E12892725C5A109D3D4EC581BF389C200B110
SSDEEP96:xsn8Rbq7XzGlsD3Bz+uzKKBwVD6RKxNJSlZry5YDSSmz2Lht0maYOo:mnabM5p+uGcRKxNJSlZrIYDSSmqLhtT
TLSHT1A5E1511ECF4AD52BE9284839C67643003B30D791D98AAF931094B17C9CA7EE87F51B5C
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
FileSize107480
MD59B34E127A0473712BF42066C2D30A6EF
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-1888251AB4CF1A25F75BD4C7B6559BFFCC00A7BD7
SHA-2569F612F6E84D4CC7DB6CC917193FE4A73C8756D61AAEB3BD94292F4D2034CF857
Key Value
FileSize105824
MD57FF7C630FC5B6505C8C2282BF2624718
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-15452CCE012B012CA807B521CD3F3DE1065D42074
SHA-25603AB3EE0583CAB9E99A350E59548F6B4979A8826C76ED59512985AF5990EBE2F