Result for 6016959342B78A58B52D32BAE93D6E54D7948B4A

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.hi
FileSize31064
MD55619A56446D815C152ABCD9E58F1B6E8
SHA-16016959342B78A58B52D32BAE93D6E54D7948B4A
SHA-256AA3AA26F9C0AE78DCE92BD14931009665D8E8E8ABDED3AA5BE300E67EC4DFC91
SSDEEP768:ZPXS5UbjZKpYISsbh7KL26ccMvRknGG6LO5mDfM3e06hB+G39x0MyC5:ZPXS5UbjZL0rtM3vGv95
TLSHT133D23B51DF14E063C8382E39587BA74C7B20D8DC73618667611E393BBE232D42E76A9D
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