Result for 4B767F9FD986C43CC130B1531C0C0DDB9EAAC6A8

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/Internal/DistanceMatrix.dyn_hi
FileSize17273
MD58A038F64A60104F3648F730AE54AE93A
SHA-14B767F9FD986C43CC130B1531C0C0DDB9EAAC6A8
SHA-25636AC1B246953234588A3C3D51629ED20EF05BABA8C01167AF6C852E6729995F5
SSDEEP384:YB+yJDAbdx2BtcWiU7LQFwkv/V+0FatgiD8r7n7LS3q10DohHk:CvJ+L2BtcWiU7LQFwkv/V+0FatgiD8rU
TLSHT195720F1FFF18D4A2DD384D39CEB74351A730E99686419B83215D227ADC636C02FD2AAD
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
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
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