Result for 9FF2D02ABFEF9AE63E3A12C610AC308AC78C698C

Query result

Key Value
FileName./usr/lib/haskell-packages/ghc/lib/powerpc64le-linux-ghc-8.0.1/hierarchical-clustering-0.4.6-Ap6qE3Og6fLFLNSA7PLC94/Data/Clustering/Hierarchical.dyn_hi
FileSize4486
MD52042F549D6AEC57568BDC3764E5DD98A
SHA-19FF2D02ABFEF9AE63E3A12C610AC308AC78C698C
SHA-2569861F13998869F5FD99654D091D642955B2CE4AFA342AF59FC3BCB8A5D8A4C69
SSDEEP96:u6OksIZxh36kSD08fcD4gVLYnsoc0zzuMHQ6ViO:6e/qHrG4gO1lP
TLSHT1E6912F4D9FA1C92AD8164E78A87B47003B60FA91A392CF43C2D874705C27F943EB166A
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 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
Key Value
FileSize75860
MD599089175CA361A303520219F05FF8C44
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-17A2ED48F4BDB41C387E5B655DC27F920C180DA08
SHA-256413D1F04E5F6C9F482650F520082687F046A4EEA04198DEB202DA24D432B66C9