Result for 36ABDA303E7AC0FCD76882C2CDC1DC313C3B909E

Query result

Key Value
FileName./usr/share/doc/libghc-hierarchical-clustering-doc/html/src/Data.Clustering.Hierarchical.Internal.Types.html
FileSize25898
MD5970FE776FFE45467A7918389DAFD7C25
SHA-136ABDA303E7AC0FCD76882C2CDC1DC313C3B909E
SHA-2569AE151ADECD60E2A22B018E98D97CFC67CFED70359574151FAD6FD609757A70E
SSDEEP192:b3DUNwInPISMu9VN60XSc77xSao0lLP2px:8NwMMk71Sao0hq
TLSHT18EC20A90C2F3042D6232D5E766EB6B7835C2107AF3971710F6DD4B3A42CEE58B84ADA5
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
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