Result for 2BC306AF8FC271F7D1CF378D1C9715D0D060A705

Query result

Key Value
FileName./usr/share/doc/libghc-hierarchical-clustering-doc/html/Data-Clustering-Hierarchical-Internal-Optimal.html
FileSize4191
MD57F732EF035C4CC1F5A9A7A8C70869216
SHA-12BC306AF8FC271F7D1CF378D1C9715D0D060A705
SHA-25615B973606E89BF97210B8ACF6A77EDCA599EFE4BE2081D30C81A4CD863228C67
SSDEEP96:S/XfdVK7qaT5w5q8/O28/dEb+dUy8/Q5IVa:+fd6qaT5MR2C+dqVa
TLSHT1798188319F46B3277665B9C1FAD4BBA969C383C9F3A1CE0098780C8686D7F509507D49
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
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