The hierarchical-clustering package

[Tags: bsd3, library]

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:

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Versions0.1, 0.3,, 0.3.1,, 0.4, 0.4.1, 0.4.2, 0.4.3, 0.4.4, 0.4.5, 0.4.6
Change logNone available
Dependenciesarray (>=0.3 && <0.6), base (==4.*), containers (>=0.3 && <0.6) [details]
AuthorFelipe Almeida Lessa
Source repositoryhead: git clone
UploadedTue Jul 21 22:24:09 UTC 2015 by FelipeLessa
Downloads1865 total (83 in last 30 days)
0 []
StatusDocs available [build log]
Last success reported on 2015-07-21 [all 1 reports]




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