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	93980
MD5	6B63AD4DE4218E94ECB76BD337B1FE35
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	0.4.7-1+b1
SHA-1	2B79BB636F01F724072831B8D36DB38C9399F8C1
SHA-256	40D0A36F5A910B103AB513E06A7C221A7DA6197810EA6E1A21D1A031002D816F

Key	Value
FileSize	79464
MD5	E246F8C71CAB491B7D10B683E6E6DAEF
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	8B775BF418E8E1D033C1B908DC3CE7114C08CB00
SHA-256	CE3A85F8A2ECD065E9005DB58778D773B3C9BCF7C6290ED69B52F9696909E384