Result for 1AC7A763781298397C9CABFA210A6245138BF743

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/arm-linux-ghc-8.4.4/hierarchical-clustering-0.4.6-7tQor1K9sA55dvOXBCHmnG/Data/Clustering/Hierarchical.p_hi
FileSize4662
MD5B778F4FD54EEF19452775476ECC9C8E4
SHA-11AC7A763781298397C9CABFA210A6245138BF743
SHA-256D01CD742105DAA3ACFBEF77351BE2FC5494A38859B2ABBAFB3C9FCAD8CFDE299
SSDEEP96:OTGh0wQjyFenHsgiqTgpstq2ROmcnSSmz2LhtzM25Vz:2GhKPHsgtgp0USSmqLhthl
TLSHT147A1534EDF55C92BE81509BA89A303103B71E6D1E693AF434198B1B89C17EE43F12AD9
hashlookup:parent-total1
hashlookup:trust55

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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
FileSize78236
MD58665881786B9BDA4438B8C4D838B6435
PackageDescriptionfast algorithms for single, average/UPGMA and complete linkage clustering; profiling libraries 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, compiled for profiling. See http://www.haskell.org/ for more information on Haskell.
PackageMaintainerDebian Haskell Group <pkg-haskell-maintainers@lists.alioth.debian.org>
PackageNamelibghc-hierarchical-clustering-prof
PackageSectionhaskell
PackageVersion0.4.6-5+b2
SHA-122817DE7CD40FEA5FCE31BC19CA4F110F094175A
SHA-25669733F7B069BCD7FD2CF7C05A75AF5942FF11AD13E42554F305EFF0FDADC606A