Result for F0D4AFF4E512EF2BB4985A8D4DD0C5906B911A35

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/x86_64-linux-ghc-7.10.3/hierarchical-clustering-0.4.6-IAwrTDRrBE07a01a2Evc2N/Data/Clustering/Hierarchical/Internal/Optimal.hi
FileSize4537
MD512723996AB24524FDA94FC33979271D1
SHA-1F0D4AFF4E512EF2BB4985A8D4DD0C5906B911A35
SHA-256E9B81DB613958588027085B59635B9B01FD62399888A0D896BFDC2329F9B6437
SSDEEP96:TmVWCTrrCf7OeW0F0MlPKm3t8tttrlWCzyOEqJ:TmlTrrCf7/W0F09m3S/2CJ
TLSHT15C91CBAEEF14CB2BD4245E3A443747956730D2E9E6E39BE3019C3920DCC99E03D62998
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
FileSize72222
MD51DC53B46D43B705D896E80DB8BA05A76
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamelibghc-hierarchical-clustering-dev
PackageSectionhaskell
PackageVersion0.4.6-1
SHA-1B7690CBA60F989CE367C8F6BFCEF0D0BF4A17B68
SHA-2568CF872B40AF0B98863126852D1E4AC6A9D4B37C64913627909731EDECF562287