{"name":"yakmo","portdir":"math/yakmo","version":"2015-01-21","license":"(GPL-2 or LGPL-2.1)","platforms":"darwin","epoch":0,"replaced_by":null,"homepage":"http://www.tkl.iis.u-tokyo.ac.jp/~ynaga/yakmo/","description":"C++ implementation of robust, efficient alternative k-means clustering","long_description":"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.","active":true,"categories":["textproc","math"],"maintainers":[],"variants":["universal"],"dependencies":[{"type":"build","ports":["clang-18"]}],"depends_on":[]}