Result for 906151CF33CEE56256098A9F33A069A595782BA7

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/arm-linux-ghc-8.8.4/hierarchical-clustering-0.4.7-Cygyc1OFL9mHkRf0Kma1fK/Data/Clustering/Hierarchical/Internal/Optimal.dyn_hi
FileSize7090
MD5CACD611410C5E56F215904E82FA887E3
SHA-1906151CF33CEE56256098A9F33A069A595782BA7
SHA-256736131D2AAEF1A71301C59DA9CBB3A2B03F091E626A5F162BC9BCD4C4D9AA7F4
SSDEEP192:jOwYZyiiCUPnGmp9tbuQe0lN9x0QN9P0s3N9U0kN9RFYRSSmqLhtT:jSgJCIGmp9tbuQe0lNz0QNp0oNi0kNjK
TLSHT1A8E1216FEF49D42AD5241839CB7743056B20CBD1888E9F4350C5A1A84CA79E87F91EEC
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize93980
MD56B63AD4DE4218E94ECB76BD337B1FE35
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-12B79BB636F01F724072831B8D36DB38C9399F8C1
SHA-25640D0A36F5A910B103AB513E06A7C221A7DA6197810EA6E1A21D1A031002D816F
Key Value
FileSize96808
MD578761BE864F98BDCE6DC4BEB250B0D10
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-1C273884939483179DBDEF0760304C9194A85A01E
SHA-25687ED5C665D475F30803335056A5970C305E95720F6EF2F6CADFCCC9DB4269BD3