Result for D9BB17DBFCAC821E1E408A95442835556893C408

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/x86_64-linux-ghc-7.10.3/hierarchical-clustering-0.4.6-IAwrTDRrBE07a01a2Evc2N/libHShierarchical-clustering-0.4.6-IAwrTDRrBE07a01a2Evc2N.a
FileSize265788
MD54DC6F2B34F0F961CA281918B32B00E31
SHA-1D9BB17DBFCAC821E1E408A95442835556893C408
SHA-2568E1B3D32DD9954994370BDD248978288D67D48AB884547BC1690E4D4175AFCEC
SSDEEP3072:NcAjUOszX/RLVkUvJvEl4b+d5Ix5tshssSW:Nd6tV/FEl4b+XCC
TLSHT122442E217EB6C4EFC23C93F58DB643F86E6899878B537A9275C4C2282D7BB801D54784
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
FileSize72222
MD51DC53B46D43B705D896E80DB8BA05A76
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-1B7690CBA60F989CE367C8F6BFCEF0D0BF4A17B68
SHA-2568CF872B40AF0B98863126852D1E4AC6A9D4B37C64913627909731EDECF562287