Result for A1CAEC302F8A04356569CB5CDDEDCC986737FBA8

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/i386-linux-ghc-8.4.4/hierarchical-clustering-0.4.6-7tQor1K9sA55dvOXBCHmnG/Data/Clustering/Hierarchical/Internal/DistanceMatrix.dyn_hi
FileSize17366
MD5E320EEC5B53F4C0FAAD8C9EA6B8D02A5
SHA-1A1CAEC302F8A04356569CB5CDDEDCC986737FBA8
SHA-2567A56EAA6273883CEBC5F352D293E8E2B250009D5D2BD9DE2EFEB4A9808AE081E
SSDEEP384:Mhd8JohYswX43yLRv0vmudrS3q10DoyHk:g8J0ASqv0V9Sa10DoyHk
TLSHT183720D0AEF48A952DD28163DCCBB43563B34EE9256079B931149323DDCA3BD12FD2A4C
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
FileSize93708
MD5AD84127EC3642A9BD946B89D16BF14F5
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-13369781F3A751B18AA95CF3F7A5B3001DBFCA60F
SHA-256DFF0793055CCF67DC2B1419D5D9B4BE6CB6A359718A4A21830D47505560CB008