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name: hierarchical-clustering
version: 0.4.6
id: hierarchical-clustering-0.4.6-Ap6qE3Og6fLFLNSA7PLC94
key: hierarchical-clustering-0.4.6-Ap6qE3Og6fLFLNSA7PLC94
license: BSD3
maintainer: felipe.lessa@gmail.com
synopsis: Fast algorithms for single, average/UPGMA and complete linkage clustering.
description:
    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.
    .
    Changes in version 0.4:
    .
    * Specialize the distance type to Double for efficiency reasons.
    It's uncommon to use distances other than Double.
    .
    * Implement SLINK and CLINK.  These are optimal algorithms in
    both space and time for single and complete linkage,
    respectively, running in /O(n^2)/ time and /O(n)/ space.
    .
    * Reorganized internal implementation.
    .
    * Some performance improvements for the naive implementation.
    .
    * Better test coverage.  Also, performance improvements for the
    test suite, now running in 3 seconds (instead of one minute).
    .
    Changes in version 0.3.1.2 (version 0.3.1.1 was skipped):
    .
    * Added tests for many things.  Use @cabal test@ =).
    .
    Changes in version 0.3.1:
    .
    * Works with containers 0.4 (thanks, Doug Beardsley).
    .
    * Removed some internal unnecessary overheads and added some strictness.
    .
    Changes in version 0.3.0.1:
    .
    * Listed changes of unreleased version 0.2.
    .
    Changes in version 0.3:
    .
    * Added function @cutAt@.
    .
    * Fixed complexity in Haddock comments.
    .
    Changes in version 0.2:
    .
    * Added function @elements@.
    .
    * Added separate functions for each linkage type.  This may be
    useful if you want to create a dendrogram and your distance
    data type isn't an instance of @Floating@.
category: Clustering
author: Felipe Almeida Lessa
exposed: True
exposed-modules:
    Data.Clustering.Hierarchical
    Data.Clustering.Hierarchical.Internal.DistanceMatrix
    Data.Clustering.Hierarchical.Internal.Optimal
    Data.Clustering.Hierarchical.Internal.Types
abi: aa40e120ec556acc1d4e07622173b901
trusted: False
import-dirs: /usr/lib/haskell-packages/ghc/lib/x86_64-linux-ghc-8.0.1/hierarchical-clustering-0.4.6-Ap6qE3Og6fLFLNSA7PLC94
library-dirs: /usr/lib/haskell-packages/ghc/lib/x86_64-linux-ghc-8.0.1/hierarchical-clustering-0.4.6-Ap6qE3Og6fLFLNSA7PLC94
data-dir: /usr/share/hierarchical-clustering
hs-libraries: HShierarchical-clustering-0.4.6-Ap6qE3Og6fLFLNSA7PLC94
depends:
    array-0.5.1.1 base-4.9.0.0 containers-0.5.7.1
haddock-interfaces: /usr/lib/ghc-doc/haddock/hierarchical-clustering-0.4.6/hierarchical-clustering.haddock
haddock-html: /usr/share/doc/libghc-hierarchical-clustering-doc/html/