Result for 2A4F248AA3E6530645ADB365531F9C8E79026082

Query result

Key Value
FileName./var/lib/ghc/package.conf.d/hierarchical-clustering-0.4.7.conf
FileSize3702
MD5636B3325A8A3D8696D1B39E446B4D00B
SHA-12A4F248AA3E6530645ADB365531F9C8E79026082
SHA-2566D1A0F13507ED7ED894F0E137835480CDEE00F583C523C345D16B61EB61A7C76
SSDEEP48:WyEcV12MxKBtz4B1YbBB2X21foyU7xxA1Sinw1qRIhgl14jGBYvcXGsXadH5aA0C:W8IJtueWG1QF7xX8RIA9u5Kd9xVo
TLSHT10171B624AB836213FC5DB8574C96E5F99B42535FA3536B80F92C10908F23E6CE35AD5C
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
FileSize113404
MD5C4550445BAA9E84CF0EC0E0488FF1CB7
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
PackageVersion0.4.7-1+b1
SHA-165694881A169E21426C6ED017495EF7D3E5D7683
SHA-25633BB53BF8BF82424A6D65A382881732DA87686692FC01AE8BC955B9F3E0D8DE1