Result for 17CBF82EF6D0149E2DDC880BDEAA1BF2BA51BDF2

Query result

Key Value
FileName./usr/share/doc/libghc-hierarchical-clustering-prof/copyright
FileSize1926
MD5ED5045345E9B027D6C5320FA6691536C
SHA-117CBF82EF6D0149E2DDC880BDEAA1BF2BA51BDF2
SHA-256E2FF11402209065B0F3E98CC2BE740E9DD069576F2CCCDBE244A3465BEDCBE06
SSDEEP48:BxdmkObPOorYJgrYJ9Uc9E437Hv3JErmv3t6THv:BxdBNorYJgrYJ9UM33bv3JjYTP
TLSHT1D141C88706841B9367E32A4176AEB9C4718ED03D79332E04789DE3445F2B11F9573061
hashlookup:parent-total49
hashlookup:trust100

Network graph view

Parents (Total: 49)

The searched file hash is included in 49 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize64868
MD5899E374D07D996EF0CDAE25D5DB0C93D
PackageDescriptionfast algorithms for single, average/UPGMA and complete linkage clustering; documentation 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 the documentation for 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-doc
PackageSectiondoc
PackageVersion0.4.7-1
SHA-10366C0861ADB9BABF030CE13CB9D8D1EC0E27447
SHA-25629EAA3DB62B81B528673A2AB8685C76ED2DFE26398C21DD00C74C13D2E829FE6
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
FileSize48516
MD55C742FE9105E676AE99B07E73FF2919F
PackageDescriptionfast algorithms for single, average/UPGMA and complete linkage clustering; documentation 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 the documentation for 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-doc
PackageSectiondoc
PackageVersion0.4.6-6
SHA-10EB4B677D22FB8F1C0F215476466A0762497D7EE
SHA-25607E5AED9111C69F562D3FB55C307E853E036FF5049EE2C5F0EB49AB8881BC0FB
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
Key Value
FileSize78236
MD58665881786B9BDA4438B8C4D838B6435
PackageDescriptionfast algorithms for single, average/UPGMA and complete linkage clustering; profiling libraries 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, compiled for profiling. See http://www.haskell.org/ for more information on Haskell.
PackageMaintainerDebian Haskell Group <pkg-haskell-maintainers@lists.alioth.debian.org>
PackageNamelibghc-hierarchical-clustering-prof
PackageSectionhaskell
PackageVersion0.4.6-5+b2
SHA-122817DE7CD40FEA5FCE31BC19CA4F110F094175A
SHA-25669733F7B069BCD7FD2CF7C05A75AF5942FF11AD13E42554F305EFF0FDADC606A
Key Value
FileSize80532
MD50C9A9967E7B2859D91BBDD8B8051D13E
PackageDescriptionfast algorithms for single, average/UPGMA and complete linkage clustering; profiling libraries 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, compiled for profiling. See http://www.haskell.org/ for more information on Haskell.
PackageMaintainerDebian Haskell Group <pkg-haskell-maintainers@lists.alioth.debian.org>
PackageNamelibghc-hierarchical-clustering-prof
PackageSectionhaskell
PackageVersion0.4.6-5+b3
SHA-12851F63B4D5BFD951F30A9EF6C59E56050A61043
SHA-256A41236692D7D25E7CC7D4CCAE3F017148C29526EFAA627B10D3A754953D75B05
Key Value
FileSize85824
MD53D87900DF2E94B2A171A1E168194028F
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
PackageVersion0.4.7-1build1
SHA-128659D46871A57446F7C6974D634348F91723487
SHA-256553D124B30CC601BCF9B8C9863AA4A1A786ECBCD80BDA62FB4DC0515682059F6
Key Value
FileSize93980
MD56B63AD4DE4218E94ECB76BD337B1FE35
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-12B79BB636F01F724072831B8D36DB38C9399F8C1
SHA-25640D0A36F5A910B103AB513E06A7C221A7DA6197810EA6E1A21D1A031002D816F
Key Value
FileSize93708
MD5AD84127EC3642A9BD946B89D16BF14F5
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-13369781F3A751B18AA95CF3F7A5B3001DBFCA60F
SHA-256DFF0793055CCF67DC2B1419D5D9B4BE6CB6A359718A4A21830D47505560CB008
Key Value
FileSize92668
MD551EDB44A1F543A2795DBDC4DAF6CA72B
PackageDescriptionfast algorithms for single, average/UPGMA and complete linkage clustering; profiling libraries 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, compiled for profiling. See http://www.haskell.org/ for more information on Haskell.
PackageMaintainerDebian Haskell Group <pkg-haskell-maintainers@lists.alioth.debian.org>
PackageNamelibghc-hierarchical-clustering-prof
PackageSectionhaskell
PackageVersion0.4.6-5+b2
SHA-134CE598D978A908CF9CDC9007C88BD8043DE9489
SHA-25643820EFAB6857B6BCD7267518D277D9E2BBF3424C8DA33C9BCB33A7304ACCFB1