Result for 717E7ABCF8FFB79F5D64F4CC83950A12B0F72425

Query result

Key Value
FileName./usr/share/doc/libghc-hierarchical-clustering-doc/html/doc-index.html
FileSize5594
MD5EB89DE20ACC95D20CC20BF787B02F86B
SHA-1717E7ABCF8FFB79F5D64F4CC83950A12B0F72425
SHA-25646F3297D8FFCAAF2B80732A8FC6235A787D6BCDACB2AA95ED6885B93FE1E6C4D
SSDEEP48:Im3m42Mzj4xlXf42MsDTaEPEJxuGEQx5ppxEvxxA8uN8xeTlNQxAyOxImEAxj0Am:sdv/XfdVDTajPSo8JrCsJ8hZyN9
TLSHT152B18D856ED7A13B7A21B1A1BC54FAFD58C242D2D3F36F50CC795EE3C649EB96200908
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

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