Result for 087AF080036AC5FCD47A663A9C13C682F1851A10

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.hi
FileSize4474
MD5AFB2199767515A3C39B088292B98A15F
SHA-1087AF080036AC5FCD47A663A9C13C682F1851A10
SHA-2564B11872DF4F218763B1EEAF020FB5A931F67DF506893A771D01398C2F4B213EC
SSDEEP96:e62ksIZxRbWYG8808fQDEeLYnsoc0zzuMHQ6ViO:6enKo8rKEl1lP
TLSHT17A912E4D9FA1C92BD8164E78A87B47043B60FA919392CF43C2D874B05C27F943E7166A
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