Result for 4291AD494990F605135A411D3206F9ABD4E57773

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/Types.dyn_hi
FileSize33588
MD5E8C7299B20A439EB803392DB4DBDEFD7
SHA-14291AD494990F605135A411D3206F9ABD4E57773
SHA-256E4B0F07DDFF8D705831D401901C1332755A713F1ABEBA274FD69F4E32B6ABD5F
SSDEEP384:euk5HADspZiOgQOmfIxgRp6JMl5T/0cjT4e6VvOyNh2b0m4M8AY5ZY0aqgNZNn1+:pkNrzDnJY5ZY0k515GY0PuC17GMsPCp
TLSHT1BDE2A981AF8AC357ED290B749EBA6319BB34CCC213458B53A80DB934ED772C46D7624D
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