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
FileSize	71208
MD5	28E2B496143EE95D3F1B7CB44F38793D
PackageDescription	fast algorithms for single, average/UPGMA and complete linkage clustering; profiling libraries 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, compiled for profiling. See http://www.haskell.org/ for more information on Haskell.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	libghc-hierarchical-clustering-prof
PackageSection	haskell
PackageVersion	0.4.7-1build2
SHA-1	BAC21A127A9C8736146A9311382C9F152EF6E09F
SHA-256	CBF343F80254A4C962D0A5A347770546601119C799552295332051819345986B

Key	Value
FileSize	75628
MD5	9D4DB2A9CC6ADEC3663A5119DE58FF50
PackageDescription	fast algorithms for single, average/UPGMA and complete linkage clustering; profiling libraries 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, compiled for profiling. See http://www.haskell.org/ for more information on Haskell.
PackageMaintainer	Debian Haskell Group <pkg-haskell-maintainers@lists.alioth.debian.org>
PackageName	libghc-hierarchical-clustering-prof
PackageSection	haskell
PackageVersion	0.4.7-1+b1
SHA-1	E073AEA0C04038C10D9FA14C4DE455876846BED6
SHA-256	7FD1A4D04177DD7C0C2329E5881BF222481272D0CA507BD770E098B07D0EEF34