hierarchical-clustering-0.1: hierarchical-clustering.cabal

Name:                hierarchical-clustering
Version:             0.1
Synopsis:            Algorithms for single, average/UPGMA and complete linkage clustering.
License:             BSD3
License-file:        LICENSE
Author:              Felipe Almeida Lessa
Maintainer:          felipe.lessa@gmail.com
Category:            Clustering
Build-type:          Simple
Cabal-version:       >= 1.6
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 function uses a naïve algorithm that represents distances
  in a rectangular distance matrix.  There could be space
  improvements (e.g. using a triangular matrix structure) and
  time improvements (e.g. using a finger tree to avoid traversing
  the whole matrix on every iteration just to see what the
  minimum is).

Library
  Exposed-modules:
    Data.Clustering.Hierarchical,
    Data.Clustering.Hierarchical.Internal.DistanceMatrix
  Build-depends: base == 4.*, array == 0.3.*, containers == 0.3.*
  GHC-options: -Wall