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	105824
MD5	7FF7C630FC5B6505C8C2282BF2624718
PackageDescription	fast 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.
PackageMaintainer	Debian Haskell Group <pkg-haskell-maintainers@lists.alioth.debian.org>
PackageName	libghc-hierarchical-clustering-dev
PackageSection	haskell
PackageVersion	0.4.6-5+b2
SHA-1	5452CCE012B012CA807B521CD3F3DE1065D42074
SHA-256	03AB3EE0583CAB9E99A350E59548F6B4979A8826C76ED59512985AF5990EBE2F

Key	Value
FileSize	93160
MD5	C1D1F13F4552502C6D286E161E7FDAD6
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	0.4.6-5+b2
SHA-1	58FD8BE7C905DB7D682E943C82DA4B10A8737887
SHA-256	E3685916BF14D858FD120C152681417157CF57603CEA473E9F34BC06B7B11815