C++ implementation of robust, efficient alternative k-means clustering
Yakmo 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.
Yakmo 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.
To install yakmo, run the following command in macOS terminal (Applications->Utilities->Terminal)
sudo port install yakmo
To see what files were installed by yakmo, run:
port contents yakmo
To later upgrade yakmo, run:
sudo port selfupdate && sudo port upgrade yakmo
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