Adaptive K-means algorithm with various threshold settings. It support two distance metric: Euclidean distance, Cosine distance (1 - cosine similarity) In version 1.1, it contains one more threshold condition.
| Version: | 1.1 |
| Published: | 2014-05-09 |
| Author: | Jungsuk Kwac |
| Maintainer: | Jungsuk Kwac <kwjusu1 at stanford.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | akmeans results |
| Reference manual: | akmeans.pdf |
| Package source: | akmeans_1.1.tar.gz |
| Windows binaries: | r-devel: akmeans_1.1.zip, r-release: akmeans_1.1.zip, r-oldrel: akmeans_1.1.zip |
| macOS binaries: | r-release: akmeans_1.1.tgz, r-oldrel: akmeans_1.1.tgz |
| Old sources: | akmeans archive |
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