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	53848
MD5	86152CA91F0CEA79F054DB16C15478A6
PackageDescription	fast algorithms for single, average/UPGMA and complete linkage clustering; documentation 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 the documentation for a library for the Haskell programming language. See http://www.haskell.org/ for more information on Haskell.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	libghc-hierarchical-clustering-doc
PackageSection	doc
PackageVersion	0.4.7-1build2
SHA-1	FA11E6B52E59020FE0D33FA86BE803D4E9F7DD81
SHA-256	76F7307E4EBA6E9007181817C45084BE973E62AA9B50E19B009588BD9C2CD8C6

Key	Value
FileSize	85808
MD5	10AD223A81A3F7DC5CEC76681601C2F7
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	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	libghc-hierarchical-clustering-dev
PackageSection	haskell
PackageVersion	0.4.7-1build2
SHA-1	7E5F7B5A74FE4A5C76D7030E61808F1947F62624
SHA-256	DC9EEB09B6638C6FCA511762F426AA973573A61E5C40A337B213F9C221F66E51