Result for 412E486F5CC4650C46C56DABE7B492085DCBB108

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/i386-linux-ghc-7.10.3/hierarchical-clustering-0.4.6-IAwrTDRrBE07a01a2Evc2N/Data/Clustering/Hierarchical/Internal/Types.dyn_hi
FileSize31076
MD531F4A6F7F7B64698F213BB87FA63A88D
SHA-1412E486F5CC4650C46C56DABE7B492085DCBB108
SHA-25679786775D3174A97B06F46772CFD0260A3CCF9DCEDCFC5FA69CBF59BBF8860CF
SSDEEP768:ZzC5UbjZvVYImsf9jOPSGoQIv1Ejyz2GvN6/baK4mld2Gj9x0MyC5:ZzC5UbjZGUmazGr95
TLSHT1B0D24A61DF14E063C8382E39587B974C7B20D8DC73618667611E393BBE232D42E76A9D
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
FileSize76908
MD5B16FDBB7C5C9822141C61C58AF051CCB
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
PackageVersion0.4.6-1
SHA-109163E85FEB47BD9FA5EFBF687AFBB20D86FB420
SHA-25678A1EC57C183323766CD6B391BF58BC7245224D951BF8564DC6929A5E19CC718