Result for C6B6FBFE3C7479F80BA02D85B096EE6EC1CB3F04

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/i386-linux-ghc-7.10.3/hierarchical-clustering-0.4.6-IAwrTDRrBE07a01a2Evc2N/libHShierarchical-clustering-0.4.6-IAwrTDRrBE07a01a2Evc2N-ghc7.10.3.so
FileSize161552
MD52E6DC027F8DA73AF1B6F0FF0D095A0B3
SHA-1C6B6FBFE3C7479F80BA02D85B096EE6EC1CB3F04
SHA-256C0AA780B700C58BA0A9985FD1B298503A59F90D7897173D02EEEB2A817675F9D
SSDEEP3072:IhO1FszXcvqSOeQsTGPwChNRdHZrXPqlV:Z1QsiPwCfRdHZrfql
TLSHT120F39311BDB7C1ACC6B462F9487543BC9969024F4733760EF38B8BB8987B6E06445BC6
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
FileSize76908
MD5B16FDBB7C5C9822141C61C58AF051CCB
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamelibghc-hierarchical-clustering-dev
PackageSectionhaskell
PackageVersion0.4.6-1
SHA-109163E85FEB47BD9FA5EFBF687AFBB20D86FB420
SHA-25678A1EC57C183323766CD6B391BF58BC7245224D951BF8564DC6929A5E19CC718