Result for 5B9B78B3F935FD8C1DBA4B6FFE9664B2CE442B36

Query result

Key Value
FileName./var/lib/ghc/package.conf.d/hierarchical-clustering-0.4.6.conf
FileSize3504
MD5ED722D038AC6295566BB8E0215B94424
SHA-15B9B78B3F935FD8C1DBA4B6FFE9664B2CE442B36
SHA-256DA14943F235DD89FF73321DF729DE41DAE67C64CDB0A84B662D68B7C2C27FB67
SSDEEP48:Wsem1h2MJKBtzQ1YbBXoXg1f9GyUzZu1Sij81EREhgb1K5TQnkvcXGsDwA0djb4f:Wsemibt0euQ11GFF6REcpgd0Fizo
TLSHT1C571881EAB835123BD6978924C2664F55A4152ABD3B1FE80F83C40DC9F17D9CA30E94C
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
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