Result for CCF80F34ACBB1D4055272E08B728D9FF17F33B45

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/x86_64-linux-ghc-8.0.2/hierarchical-clustering-0.4.6-5P58jXYzNbSBaU3DRzpatT/Data/Clustering/Hierarchical/Internal/Optimal.dyn_hi
FileSize6167
MD507265C102E1638EB9977B93F3530CB4C
SHA-1CCF80F34ACBB1D4055272E08B728D9FF17F33B45
SHA-256B4B7B82D09CEA1BA3DFF29299345C7CC4F54D8339C047969A4E0FA4844487782
SSDEEP96:vakEczin5MjtwMikzR8kDup20UG7IUGdNwUGuUGepmdzztmoqP:vcU85gtw2852uOdNqgemZE
TLSHT1DFD1450DEF82D63ED9691E36D47B838D7720DBC10A529F5301E435309CB79E86E6226E
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
FileSize79976
MD5136B4C11AAF1404C288954174FC7215B
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
PackageVersion0.4.6-3build1
SHA-142AF1E6CAC552D454914250CCBDC1F1A112E77EB
SHA-25682046733D7276B194749AF59843547738C0D7E20B1AC0A407A4180A822FFB762