Result for 2DBF5A005369B36788AE198D0235481AE7D2D6D9

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/mips-linux-ghc-8.0.1/hierarchical-clustering-0.4.6-Ap6qE3Og6fLFLNSA7PLC94/Data/Clustering/Hierarchical/Internal/Optimal.dyn_hi
FileSize6179
MD5F4561D8C65D06BEA5190A50D07B997B4
SHA-12DBF5A005369B36788AE198D0235481AE7D2D6D9
SHA-256533BD253436CFD82481E532CB3B0BC997A97F4746EA3B11A5D742EFA000F1CD8
SSDEEP96:8nowEcz9lVXgO8Lb4fetRRApCUG78UGiNwUGdUGjpOhs/zztmoqP:8odU11AbRQ0iiNqt1OqE
TLSHT1E1D1134EEF42D62ED8A95F32D47B438D7720DB9106438F1341E439309CB7AE85E6226E
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize103852
MD5565826DF5CBF4F3CC0F65326DDEB8879
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.
PackageMaintainerDebian Haskell Group <pkg-haskell-maintainers@lists.alioth.debian.org>
PackageNamelibghc-hierarchical-clustering-dev
PackageSectionhaskell
PackageVersion0.4.6-3+b1
SHA-1742B870F8EEBB4F729D02139933CCE81FE7DF04A
SHA-2563B8538675BD2D2F80DAF378A78F54F2834BEBDD36D0EBFED70AE9D9A7D885EC7
Key Value
FileSize106342
MD5164F6ADA7E4DCC5331E13FC15D6EAC2D
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.
PackageMaintainerDebian Haskell Group <pkg-haskell-maintainers@lists.alioth.debian.org>
PackageNamelibghc-hierarchical-clustering-dev
PackageSectionhaskell
PackageVersion0.4.6-3+b1
SHA-10A5374B4CA283E1CE02EB54421C9829829E3979C
SHA-256CAFE62367CCFB1A545213B8229EF94054FE31D071594A061957F0EBF67B26F31