Result for 262E07A1D6E4A6DA904B6CBC37650689561C5438

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/mips-linux-ghc-8.4.4/libHShierarchical-clustering-0.4.6-7tQor1K9sA55dvOXBCHmnG-ghc8.4.4.so
FileSize333796
MD5A96D75569B89F6C9DAE02449DE387740
SHA-1262E07A1D6E4A6DA904B6CBC37650689561C5438
SHA-256291206325DAEC8FF91F8D14440723B9A9AFACF6BFDDE0D8966327BFE219AFF7F
SSDEEP6144:WLmiOVB7YVKNEbrkDuSSoBKjq54egABgEXcEMiKoYSFSlQtmGr139gMeOW0SGA44:WnOzYVKNEbrkDuSVBKjq54egABgEsEMN
TLSHT1E8644213DEEA693AEC58FD704F30D6DC2DD0D00F538AB62BA894C2A9B0277E553594D8
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 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