Result for 18E4C37D5829EAEA76CC8F4FE5A1528D94C6CBFF

Query result

Key Value
FileName./usr/share/doc/libghc-hierarchical-clustering-doc/html/src/Data.Clustering.Hierarchical.Internal.Types.html
FileSize22555
MD556466C7EA285EE659282DAA87A1E2019
SHA-118E4C37D5829EAEA76CC8F4FE5A1528D94C6CBFF
SHA-25682B3B5A3F1EE5961FC2C97135F60E21F5F31264CF49A53EB00F7D1BD50948A92
SSDEEP96:xRhEHnNDcbNwoFscJRXh6MNDElhwlhs2pdIU2fZz2yEK+olvk5Tn2kPsji8svUaX:bYDUNwzEAzDD0XSc77xSao0lLP2Wx
TLSHT175A2C290C6F3046D2232D1F766EF6B7825D2107AF3D72715E6ED8B7A02CDE44B8468A1
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize59444
MD5218BB689D338FFDA7621C5C6CBCB9FC8
PackageDescriptionfast algorithms for single, average/UPGMA and complete linkage clustering; documentation 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 the documentation for 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-doc
PackageSectiondoc
PackageVersion0.4.6-5
SHA-19C3302ED90AEBF6D7B25F9414A65F214AE1E0AA9
SHA-25677BEAFDE64A398A87B536C919F4DCA24236923C48958857CE3DD6F0B8926D7EE