Result for 0343339AF3A94CB2B1854D875AD7F0C776AA8760

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/x86_64-linux-ghc-7.10.3/hierarchical-clustering-0.4.6-IAwrTDRrBE07a01a2Evc2N/Data/Clustering/Hierarchical/Internal/Optimal.dyn_hi
FileSize4549
MD5329B013697D25508E17667316EE63631
SHA-10343339AF3A94CB2B1854D875AD7F0C776AA8760
SHA-256165DC480841E7088654A97BF1A842A7756BD87A3A97925519B2B8850BCC33BAA
SSDEEP96:TiZWCTrrCf7OeLRF0Ml6mjtItxtrl2CzyOEqJ:TiJTrrCf7/LRF0tmjOjWCJ
TLSHT1DF91CCAEEF04CB2BC4156F3A043747856730D2E9E6E39BE3019C3921DCC99E03D62998
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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