Result for 00FD87DD54E2B6C7B4DD76CA097DD1D8960C9C08

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/s390x-linux-ghc-8.4.4/hierarchical-clustering-0.4.6-7tQor1K9sA55dvOXBCHmnG/Data/Clustering/Hierarchical.hi
FileSize4838
MD57F44D44B4B860334201DC5868EC6982D
SHA-100FD87DD54E2B6C7B4DD76CA097DD1D8960C9C08
SHA-2564ECDCED189826FA6C013C93FA21B424A6E1E13C1B8F3736D2881E80FB433E79F
SSDEEP96:V2ta8+sEldef281tBhJc9OVROLcnSSmz2LhtzM8Tb2tO:VG7H+8xoUSSmqLhtIA
TLSHT119A1534AEF65C51BE8140ABE94B747002F71E9D1D2969F4342A8F2749C0BEE43F11E9A
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
FileSize117808
MD536E3EBCB4F2330194784FA9F3C0550D2
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
PackageVersion0.4.6-5+b2
SHA-10372965B506BAD261EB012225EC6135A2E66F875
SHA-25630C73E224960475E3D8175F02514E6351BC7CD02945A0AFA6A53842C8F880B9B
Key Value
FileSize112376
MD5AAF28A350A10B8D5F57148BA74E65B28
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
PackageVersion0.4.6-5+b2
SHA-1711D90531E38ECE86C7CA3325EFABD1665ACC5A3
SHA-2568D4BE9E37D2BDC7C567FB6B75F5AFEA2F6CE3227BA2C038385E89234090D70C2