Result for 61D4D71234DD29F0DE905FEB211E79557865EFA2

Query result

Key Value
FileName./usr/share/doc/libghc-hierarchical-clustering-doc/html/Data-Clustering-Hierarchical-Internal-Optimal.html
FileSize4191
MD50FFE959BC70612464CE655CA39031FCB
SHA-161D4D71234DD29F0DE905FEB211E79557865EFA2
SHA-25689FBE54D4CD37C40303F07DAEC44127697FEC7BC9906D08966B4A7F5CF6F334E
SSDEEP96:S/XfdVK7qaT5w5q8/O28/dEb+dUy8/Q5IVH:+fd6qaT5MR2C+dqVH
TLSHT16F8188319F46B3277665B9C1FAD4BBA96AC383C9F3A1CE0098780C8686D7F509507D49
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
FileSize46806
MD5DD692E51CD48BA557DDE4D603FFCCD64
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
PackageVersion0.4.6-3
SHA-1FF3242B7D68395F22BA6C69AF9B50CE0B53367B7
SHA-2565C4E1CA3A94D7B0E6C3856AF6FAEC9DC9EBCEE2C0A4FDCDFDFF065B5B835DFDA