Result for 3B9583435D5A4550D2945C38EF78C23DBF5D0237

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/arm-linux-ghc-8.4.4/hierarchical-clustering-0.4.6-7tQor1K9sA55dvOXBCHmnG/Data/Clustering/Hierarchical/Internal/Types.hi
FileSize35948
MD5B02A0534D51FB82767DDC86A6CDCB967
SHA-13B9583435D5A4550D2945C38EF78C23DBF5D0237
SHA-2566E17178FC7B495703EA0D86B305F341E78D6FE8F164FFA25855ED9292F8F981B
SSDEEP768:R9Ntt2NRgiz3DM38Rgs30cBxrvXZkpo6HDuW08gUvmaW0ggllX5G8kUfF4ukfu3z:i3jBKxby5g
TLSHT15CF28C51DF4AC522EA382A3194BA43057B20D985768AAF43A01DF17CBD337C83F56E8C
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
FileSize96588
MD590F7AECCE3E246AF56E28E3D2DC6DC08
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+b3
SHA-192E3F23E141F6601314EF92290F06827F7E29144
SHA-2567E167B5D51A8F076304B1D4E0FD8597FBB8F39526F05313FED7DC1709468B7BA
Key Value
FileSize93360
MD57C41FCFFD70D45DBBDB1B02589576C16
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-1E7057315B3706F60299C23809D3B45DC882322A0
SHA-2560D55FA775FB65437A6155232024F7C83BBDC606D30690761574452E7D36D70E5