| cluster(Collection) |   | 64% | | 50% | 9 | 16 | 14 | 51 | 0 | 1 |
| isSkipNext(int[], double[], double[][], double[][], int, int) | | 0% | | 0% | 4 | 4 | 1 | 1 | 1 | 1 |
| updateIntraCentersDistances(double[][], double[][], double[]) | | 80% | | 75% | 2 | 5 | 2 | 10 | 0 | 1 |
| ElkanKMeansPlusPlusClusterer(int, int, DistanceMeasure, UniformRandomProvider, KMeansPlusPlusClusterer.EmptyClusterStrategy) | | 0% | | n/a | 1 | 1 | 2 | 2 | 1 | 1 |
| ElkanKMeansPlusPlusClusterer(int, int, DistanceMeasure, UniformRandomProvider) | | 0% | | n/a | 1 | 1 | 2 | 2 | 1 | 1 |
| seed(List) | | 100% | | 100% | 0 | 6 | 0 | 28 | 0 | 1 |
| partitionPoints(List, double[][], double[], double[][]) | | 100% | | 100% | 0 | 4 | 0 | 12 | 0 | 1 |
| buildResults(List, int[], double[][]) | | 100% | | 100% | 0 | 3 | 0 | 8 | 0 | 1 |
| updateBounds(int[], double[], double[][], double[]) | | 100% | | 100% | 0 | 3 | 0 | 6 | 0 | 1 |
| distance(double[], double[]) | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| ElkanKMeansPlusPlusClusterer(int) | | 100% | | n/a | 0 | 1 | 0 | 2 | 0 | 1 |