cclust: Convex Clustering Methods and Clustering Indexes
Convex Clustering methods, including K-means algorithm,
On-line Update algorithm (Hard Competitive Learning) and Neural Gas
algorithm (Soft Competitive Learning), and calculation of several
indexes for finding the number of clusters in a data set.
| Version: |
0.6-21 |
| Imports: |
stats |
| Published: |
2017-01-17 |
| Author: |
Evgenia Dimitriadou [aut],
Kurt Hornik [ctb, cre] |
| Maintainer: |
Kurt Hornik <Kurt.Hornik at R-project.org> |
| License: |
GPL-2 |
| NeedsCompilation: |
yes |
| In views: |
Cluster |
| CRAN checks: |
cclust results |
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