Result for 76251EDEDF8ABEB099548839A20A2114D6CF751F

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/powerpc64le-linux-ghc-8.0.1/hierarchical-clustering-0.4.6-Ap6qE3Og6fLFLNSA7PLC94/Data/Clustering/Hierarchical/Internal/Types.hi
FileSize33576
MD5B5A496FDC8FA02FCCF2D4949A8B07BA0
SHA-176251EDEDF8ABEB099548839A20A2114D6CF751F
SHA-256CF870AC26E180718E38B3BF445D6FD55651E99FAE8093B5B8CD62A2A117EEAA0
SSDEEP768:76fBIvtP/3p8wdluk2F2q8ZOmM17GMsPCp:76fBIvtHp8wdllMTp
TLSHT181E2A691AF46D362E9264B749EBE2309BF21CDC112568B53C40EB430ED773C86D7668E
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
FileSize99002
MD5CDE40062174C2C99264D216015C178BF
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-105CCD072C0725F4BDFCC453890EBBD7AC4D8654E
SHA-2562F5ECF56C3D3FA26812465552A96EE461ED2FB43FA956BF3E46B474BA04E2225
Key Value
FileSize75860
MD599089175CA361A303520219F05FF8C44
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-17A2ED48F4BDB41C387E5B655DC27F920C180DA08
SHA-256413D1F04E5F6C9F482650F520082687F046A4EEA04198DEB202DA24D432B66C9