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	80532
MD5	0C9A9967E7B2859D91BBDD8B8051D13E
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+b3
SHA-1	2851F63B4D5BFD951F30A9EF6C59E56050A61043
SHA-256	A41236692D7D25E7CC7D4CCAE3F017148C29526EFAA627B10D3A754953D75B05

Key	Value
FileSize	96588
MD5	90F7AECCE3E246AF56E28E3D2DC6DC08
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+b3
SHA-1	92E3F23E141F6601314EF92290F06827F7E29144
SHA-256	7E167B5D51A8F076304B1D4E0FD8597FBB8F39526F05313FED7DC1709468B7BA