Result for 2A8671675F1E2DDBF920BA584DC431E2FA82DAFE

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/Types.hi
FileSize36909
MD5DC50CA723AFA57C8F8F9241A941D79D3
SHA-12A8671675F1E2DDBF920BA584DC431E2FA82DAFE
SHA-256DF0722D008F1F4563415CE4662607AAB2721DBA2BB2A9121A2493E045CF32673
SSDEEP768:EqrorOrir9DrjVSrg9rg6rgOr9rRrIr4rPrzmrrr4rLryrar7rMrxrYJrrrNr4X6:APVf/RscF
TLSHT1AFF2BC57FF4AC152DA383A70967A0309AB24DC81564AAF43E019E6BCBD735C53F81ED8
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