Result for 421CC7846D54CC9B63A2C008DF8226EA43FF40D6

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/x86_64-linux-ghc-8.8.4/hierarchical-clustering-0.4.7-Cygyc1OFL9mHkRf0Kma1fK/Data/Clustering/Hierarchical/Internal/DistanceMatrix.hi
FileSize17261
MD554A3F5F327B9E34D69547F31F9C576A4
SHA-1421CC7846D54CC9B63A2C008DF8226EA43FF40D6
SHA-2568D5A65E0B6D58138482485A852275FEF90864C82295B93820D0F51B7B0637E79
SSDEEP384:IJ+a6jNJ2BtcWig3uFQ40wjoW+AZamrGXolrTn7LS3q10DohHk:ivIj2BtcWig3uQ40wjoW+AZamrGXUrrI
TLSHT16872FD1FFF58D492DD384D39CEB74350AB30E99686129B83215D2279DC636C02FD2AAD
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
FileSize88912
MD52F26CA8A20AE70E5572488ADCB449B0C
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-1D70B92DCA6A121C3CA194C71169ABEB70FA39FB0
SHA-25678D03A5D005E761859D8ED8BFE3401153BF5AF4A136508B50B0899E909655CA7
Key Value
FileSize85808
MD510AD223A81A3F7DC5CEC76681601C2F7
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamelibghc-hierarchical-clustering-dev
PackageSectionhaskell
PackageVersion0.4.7-1build2
SHA-17E5F7B5A74FE4A5C76D7030E61808F1947F62624
SHA-256DC9EEB09B6638C6FCA511762F426AA973573A61E5C40A337B213F9C221F66E51