Result for 61EAAF068A43B7490EB8A3842BE7FC35B94E0058

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/powerpc64le-linux-ghc-8.0.1/hierarchical-clustering-0.4.6-Ap6qE3Og6fLFLNSA7PLC94/libHShierarchical-clustering-0.4.6-Ap6qE3Og6fLFLNSA7PLC94.a
FileSize611728
MD5FC1F0E5577C0C673B707E4394FFD7DC3
SHA-161EAAF068A43B7490EB8A3842BE7FC35B94E0058
SHA-256831BABCED463CFCDB0C42392CE26BC4567BC3D2AFA6B772DB72E1463DA54627D
SSDEEP3072:IZhUoS5wSKxKOHkTjswWkVAy/mSYj1KmOHjE/hJc:I/UFdQ7FSYc
TLSHT1F9D40E7EDF7521DAE658E130CCF28FB919A211EAD3837955EC98C1603457AB072CA9C3
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
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