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C++ implementation of robust, efficient alternative k-means clusteringYakmo implements robust, efficient k-means clustering with triangular inequality and smart initialization, while supporting alternative clustering outputs. The use of the triangular inequality allows k-means to skip unnecessary distance calculations, while the smart initialization by randomized seeding (k-means++) not only improves solution accuracy but also accelerates the algorithm convergence. In addition, you can obtain alternative clusterings via orthogonalization.
Version: 2015-01-21 License: (GPL-2 or LGPL-2.1)
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| Maintainers | No Maintainer |
| Categories | textproc math |
| Homepage | http://www.tkl.iis.u-tokyo.ac.jp/~ynaga/yakmo/ |
| Platforms | darwin |
| Variants |
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