Result for E0296CE53676508136E194A9B435B776BB2032FB

Query result

Key Value
FileName./usr/share/doc/libghc-hierarchical-clustering-prof/copyright
FileSize1925
MD5C22EE4DF65315A1E701C36EAF29A2CED
SHA-1E0296CE53676508136E194A9B435B776BB2032FB
SHA-2563DE1C41E80E2616FDA715290A8CAD4E9098CD354A4231B309640D8981CD99B2C
SSDEEP48:YxdmkObPOorYJgrYJ9Uc9E437Hv3JErmv3t6THv:YxdBNorYJgrYJ9UM33bv3JjYTP
TLSHT12241C88B06841B9367E32A4176AEB9C0718DD03D79332E04789DE3445F2B11F9573161
hashlookup:parent-total31
hashlookup:trust100

Network graph view

Parents (Total: 31)

The searched file hash is included in 31 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
FileSize96880
MD59B9DECCE9DEA7EE0F86A109F812D0A5F
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
PackageVersion0.4.6-3+b1
SHA-106F1A9E90BA18DC8FEEFA7B23C75244E346CB7B3
SHA-256152530EA7C0355A88FCA266A6E60DF56B41AD2EAB42032DC991A5BE2E83ADD4D
Key Value
FileSize76908
MD5B16FDBB7C5C9822141C61C58AF051CCB
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
PackageVersion0.4.6-1
SHA-109163E85FEB47BD9FA5EFBF687AFBB20D86FB420
SHA-25678A1EC57C183323766CD6B391BF58BC7245224D951BF8564DC6929A5E19CC718
Key Value
FileSize106342
MD5164F6ADA7E4DCC5331E13FC15D6EAC2D
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-10A5374B4CA283E1CE02EB54421C9829829E3979C
SHA-256CAFE62367CCFB1A545213B8229EF94054FE31D071594A061957F0EBF67B26F31
Key Value
FileSize91494
MD552DF619E6754370C2A8DBAA2ED3235E4
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
PackageVersion0.4.6-3+b1
SHA-10E45A4E16A3C213FC97AEE2285BDCF622D80D9CB
SHA-2569E8C6F1AFBB36B5B66F70D47DD5F2E4DBB9C0B107943742C8E1CD39AE4DE1D28
Key Value
FileSize32672
MD5BF8FF2B26616380BC7F58F6118C147D2
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
PackageVersion0.4.6-1
SHA-11EAD772B83525DFAB1E16EE5E973447D2244E894
SHA-25606DE225AEFB0668DD474255F72F2282D7D6B62598FD8D50E8C8A0B05462C00AA
Key Value
FileSize91444
MD5A489753BE81E3871ED82A8AB56CAEDAB
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
PackageVersion0.4.6-3+b1
SHA-12436EC847FFC07D9981B946BE4847D1F71E20229
SHA-2563506A107DF9F4E70A3E47F3C01A41D95127EC3EC7EAEBA5E8C1EDBF572303408
Key Value
FileSize98888
MD5E91A004D4F2D9F4CEA9335907675C153
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
PackageVersion0.4.6-3+b1
SHA-13F59B37AB4A1C96DB4AEB7C0D740D1E8B019740E
SHA-256D01DA806BEE754F982484534ED4E21041E3D176A737554581F9091D5A3F946FB
Key Value
FileSize79976
MD5136B4C11AAF1404C288954174FC7215B
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
PackageVersion0.4.6-3build1
SHA-142AF1E6CAC552D454914250CCBDC1F1A112E77EB
SHA-25682046733D7276B194749AF59843547738C0D7E20B1AC0A407A4180A822FFB762
Key Value
FileSize34228
MD5A835A9D23E198B5B3B777570233D966C
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
PackageVersion0.4.6-3build1
SHA-16B1631D6F0CF6D4FF0F3C9DDD43F9E937AC50AF0
SHA-256ECBBC054C285C2F922DBF7D0C9D3E347A48F67337693A8C4099254F3BAB0D4A5