| getFarthestPoint(Collection) |  | 0% | | 0% | 5 | 5 | 16 | 16 | 1 | 1 |
| getPointFromLargestNumberCluster(Collection) | | 0% | | 0% | 4 | 4 | 12 | 12 | 1 | 1 |
| adjustClustersCenters(List) |  | 71% | | 62% | 3 | 6 | 5 | 15 | 0 | 1 |
| chooseInitialCenters(Collection) | | 92% | | 78% | 5 | 17 | 4 | 45 | 0 | 1 |
| KMeansPlusPlusClusterer(int, int, DistanceMeasure, UniformRandomProvider, KMeansPlusPlusClusterer.EmptyClusterStrategy) | | 62% | | 50% | 2 | 3 | 2 | 10 | 0 | 1 |
| getEmptyClusterStrategy() | | 0% | | n/a | 1 | 1 | 1 | 1 | 1 | 1 |
| getPointFromLargestVarianceCluster(Collection) | | 100% | | 100% | 0 | 6 | 0 | 18 | 0 | 1 |
| cluster(Collection) | | 100% | | 100% | 0 | 5 | 0 | 14 | 0 | 1 |
| assignPointsToClusters(List, Collection, int[]) | | 100% | | 100% | 0 | 3 | 0 | 11 | 0 | 1 |
| getNearestCluster(Collection, Clusterable) | | 100% | | 100% | 0 | 3 | 0 | 11 | 0 | 1 |
| KMeansPlusPlusClusterer(int, int) | | 100% | | n/a | 0 | 1 | 0 | 2 | 0 | 1 |
| KMeansPlusPlusClusterer(int, int, DistanceMeasure) | | 100% | | n/a | 0 | 1 | 0 | 2 | 0 | 1 |
| KMeansPlusPlusClusterer(int, int, DistanceMeasure, UniformRandomProvider) | | 100% | | n/a | 0 | 1 | 0 | 2 | 0 | 1 |
| KMeansPlusPlusClusterer(int) | | 100% | | n/a | 0 | 1 | 0 | 2 | 0 | 1 |
| lambda$cluster$0(CentroidCluster) | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getNumberOfClusters() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getMaxIterations() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getRandomGenerator() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |