Result for 788635803CC19C0D59D4D7FA887C7B19770331BD

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/s390x-linux-ghc-8.0.1/hierarchical-clustering-0.4.6-Ap6qE3Og6fLFLNSA7PLC94/Data/Clustering/Hierarchical/Internal/DistanceMatrix.hi
FileSize15796
MD5F6ABC21A5AD387CD9B04E0D2038AEF07
SHA-1788635803CC19C0D59D4D7FA887C7B19770331BD
SHA-25623DD9DE9C21640DFB4B254ED4C0775792F00A4D00CFEEAD8E7E8E9C0E9B586E0
SSDEEP192:5zhru6KbUizodqCaZ7b2QD2/PVQ3jZjui/4wR9Tu9u2fAWALAWA6AWACCt93CUyZ:XuJSUClyHzR90JjrPNm
TLSHT1E462CE07EF50F222EC2907B48CBB47877B30EE924B138B674255B035DDA75D06DA22AD
hashlookup:parent-total1
hashlookup:trust55

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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
FileSize148926
MD5FC6D95F6D834FA2B90F932B918C84DFB
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
PackageVersion0.4.6-3+b1
SHA-1A712BADA341187DF41B60DF890F68AA573C11E6B
SHA-2563C34B5A2AF4E1C63694CCE9CA404E55D49201826EACFFA1799D1148A4A315704