Result for B747728B0AE661EF96B79E053C85FAB3293B2A51

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/x86_64-linux-ghc-8.8.4/hierarchical-clustering-0.4.7-Cygyc1OFL9mHkRf0Kma1fK/Data/Clustering/Hierarchical.dyn_hi
FileSize4917
MD5A8C1F2D550C605AC350029EB743703B5
SHA-1B747728B0AE661EF96B79E053C85FAB3293B2A51
SHA-25631F036E506F797F4F10148410C4BF36B4DFFDD883DBF5675320D68B5ED4D0210
SSDEEP96:BwTjeC0r/r7Hmmde7iI6EhLRuUobXSciXZ9OvaENROVcUfaSSmz2LhtzM8Tb2tO:KTur/riP7n6EhLcpiXTEUwSSmqLhtIA
TLSHT195A1744FEF65CA27E8140A7E897307042B60DA91C55ADF430288B2B84C57DD12F11EEE
hashlookup:parent-total4
hashlookup:trust70

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Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize93612
MD538A94CA668D3B1CB053D601414032DDD
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
PackageVersion0.4.7-1+b1
SHA-1A69C52480A82FFDF2733E332D89BBEDD2E8DD607
SHA-25609DF1A0A81A05EF51AA6D5CC76A79DA56E0EB3CF1F796D1D07BECE0C57A694EA
Key Value
FileSize85808
MD510AD223A81A3F7DC5CEC76681601C2F7
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
PackageVersion0.4.7-1build2
SHA-17E5F7B5A74FE4A5C76D7030E61808F1947F62624
SHA-256DC9EEB09B6638C6FCA511762F426AA973573A61E5C40A337B213F9C221F66E51
Key Value
FileSize88912
MD52F26CA8A20AE70E5572488ADCB449B0C
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
PackageVersion0.4.7-1+b1
SHA-1D70B92DCA6A121C3CA194C71169ABEB70FA39FB0
SHA-25678D03A5D005E761859D8ED8BFE3401153BF5AF4A136508B50B0899E909655CA7
Key Value
FileSize112880
MD5FE12C8C1E12345745033D10D655E0BB1
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
PackageVersion0.4.7-1+b1
SHA-1111B33ACFC5E2765EA6E6DE2E9C5C5A952B95820
SHA-256252D32FC2C8E4DB999BFB41FCD579B4AD0EF6ABC3927BB50CFA42B24E7392074