Result for 58D898A3E6A8451995B2484A832B4C6EDF2F761D

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/DistanceMatrix.hi
FileSize17257
MD53FEC7FE9F1517B37E727A5101C5C36D8
SHA-158D898A3E6A8451995B2484A832B4C6EDF2F761D
SHA-2566385D98C42CD33095443F3C8C6B9B3B8439A2179CEF7C0C69CC23D2C9404864F
SSDEEP384:zELwsZWYlavtcWiKroQkL0kfKBctLpaxXOuTWr7n7LS3q10DohHk:6w8tavtcWiKroQkL0kfKBy1axXOuTWrU
TLSHT124720B1BFF48D492DD381D79CD774325AB30D99A8A05AB83115D62B9DC632C02FC2AAD
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