ClustEval
clustering evaluation framework

Here you see general information about the clustering method.

K-means might be the most well-known clustering algorithm. Using the number of clusters k as parameter, k-means aims to iteratively minimize the within-cluster-sum-of-squares by assigning each object to the closest centroid (an artificial object) followed by a subsequent update of these centroids. The assignment after the convergence of this process is reported as clusters.

- Publication: R Core Team.
**R: A Language and Environment for Statistical Computing.***R Foundation for Statistical Computing*, Vienna, Austria, 2013. ISBN 3-900051-07-0.

Information | Value |
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Name | programs/KMeansClusteringRProgram.jar |

Download | Click |