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Ckmeans.1d.dp : Optimal and Fast Univariate k-Means Clustering

Package: Ckmeans.1d.dp
Type: Package
Title: Optimal and Fast Univariate k-Means Clustering
Version: 3.4.6
Author: Joe Song and Haizhou Wang
Maintainer: Joe Song <joemsong@cs.nmsu.edu>
Description: A fast dynamic programming algorithm for optimal univariate k-means clustering. The algorithm minimizes the sum of squares of within-cluster distances. As an alternative to heuristic k-means algorithms, this method guarantees optimality and reproducibility. Its advantage in efficiency and accuracy over heuristic k-means clustering is increasingly pronounced as the number of clusters k increases.
License: LGPL (>= 3)
NeedsCompilation: yes
Suggests: testthat
Depends: R (>= 2.10.0)
Packaged: 2016-06-02 02:22:19 UTC; joemsong
Repository: CRAN
Date/Publication: 2016-06-02 05:50:25

● Data Source: CranContrib
3 images, 3 functions, 0 datasets
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