Result for 4C8E5DDA9ED74409E81E8D831C547CE152BDBF96

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/Types.dyn_hi
FileSize31080
MD528471EC4AA3E4C41189088D0B35DA3F7
SHA-14C8E5DDA9ED74409E81E8D831C547CE152BDBF96
SHA-2564656028AA06167C90C0DFD90D2C71C4A19561B391EC7AF24A4EDB317A55B9DDE
SSDEEP768:Ts8PUbjZU5biuixJ6pwruWDaoEEkXpfE9+s7OMj3c59x0MyC5:Ts8PUbjZCsyx95
TLSHT153D27820DF15E563C8342E38183BA78C7B60D8ED7365C667511E293EBE332D42E61A9D
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