Result for 93810CB3A22D213471E14F39E34E40EF7F23F2C7

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/arm-linux-ghc-8.0.1/hierarchical-clustering-0.4.6-Ap6qE3Og6fLFLNSA7PLC94/Data/Clustering/Hierarchical.p_hi
FileSize4319
MD575F9143F2045969982BE00D5FC6F69B0
SHA-193810CB3A22D213471E14F39E34E40EF7F23F2C7
SHA-2564E4F19C6A90E3497E769AE830AFCA194C036824D7AD8828189C430CE9C499F65
SSDEEP96:M9LEsRbWYs5d08VgAW0sLYEsoc0zzuMDvV7:T8KFa0q19J
TLSHT11591444DEF91C92BDC114EBC687B47413B71E7D1A6928F53C1D874B09C2ABE42E21175
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
FileSize91494
MD552DF619E6754370C2A8DBAA2ED3235E4
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
PackageVersion0.4.6-3+b1
SHA-10E45A4E16A3C213FC97AEE2285BDCF622D80D9CB
SHA-2569E8C6F1AFBB36B5B66F70D47DD5F2E4DBB9C0B107943742C8E1CD39AE4DE1D28