Result for 0640CD237DC42CE4B8F8037E56B151FF7ACAB374

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/i386-linux-ghc-8.8.4/hierarchical-clustering-0.4.7-Cygyc1OFL9mHkRf0Kma1fK/Data/Clustering/Hierarchical.dyn_hi
FileSize4913
MD58DC23005589A7B43FCDC3E4C9A2418C1
SHA-10640CD237DC42CE4B8F8037E56B151FF7ACAB374
SHA-256EB9F131B1281CED385617C5E85818BBB5984BD04724D21C3B2B3E3D0BF653F66
SSDEEP96:f9CZvOMe2v6ETRaUoHXSccbZ9OVQFROVcUfaSSmz2LhtzM8Tb2tO:1Cgzw6ETwdcbgQ8wSSmqLhtIA
TLSHT107A1654FEF69C51BE8140A7E897307047B61DAD0C19ADF430299B1B84C57AE13F11ED6
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
FileSize92988
MD554EF5E814FB4E2749258EB9983A4846C
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-19498C20DBF3276142AD8F3D546C4064E7726FC4E
SHA-2566F2E5DC3E8B9DF717FAC24C311CC525B9332B2D58CEE0F86A303B3CAFF591EFA