arXiv · 1304.6899
An implementation of the relational k-means algorithm
Abstract
A C# implementation of a generalized k-means variant called relational k-means is described here. Relational k-means is a generalization of the well-known k-means clustering method which works for non-Euclidean scenarios as well. The input is an arbitrary distance matrix, as opposed to the traditional k-means method, where the clustered objects need to be identified with vectors.
Explore related subjects
Keep this discovery
Balázs Szalkai. 2013-04-25. An implementation of the relational k-means algorithm. https://arxiv.org/abs/1304.6899
Cite the original work for its findings. Save a collection to share your selection of sources.