| getObjectiveFunctionValue() |  | 0% | | 0% | 5 | 5 | 14 | 14 | 1 | 1 |
| cluster(Collection) |  | 80% | | 66% | 4 | 7 | 3 | 23 | 0 | 1 |
| getMembershipMatrix() | | 0% | | 0% | 2 | 2 | 3 | 3 | 1 | 1 |
| updateMembershipMatrix() | | 95% | | 87% | 2 | 9 | 3 | 26 | 0 | 1 |
| getDataPoints() | | 0% | | n/a | 1 | 1 | 1 | 1 | 1 | 1 |
| getClusters() | | 0% | | n/a | 1 | 1 | 1 | 1 | 1 | 1 |
| updateClusterCenters() | | 100% | | 100% | 0 | 4 | 0 | 22 | 0 | 1 |
| FuzzyKMeansClusterer(int, double, int, DistanceMeasure, double, RandomGenerator) | | 100% | | 100% | 0 | 2 | 0 | 13 | 0 | 1 |
| calculateMaxMembershipChange(double[][]) | | 100% | | 100% | 0 | 3 | 0 | 6 | 0 | 1 |
| initializeMembershipMatrix() | | 100% | | 100% | 0 | 3 | 0 | 5 | 0 | 1 |
| saveMembershipMatrix(double[][]) | | 100% | | 100% | 0 | 2 | 0 | 3 | 0 | 1 |
| FuzzyKMeansClusterer(int, double, int, DistanceMeasure) | | 100% | | n/a | 0 | 1 | 0 | 2 | 0 | 1 |
| FuzzyKMeansClusterer(int, double) | | 100% | | n/a | 0 | 1 | 0 | 2 | 0 | 1 |
| getK() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getFuzziness() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getMaxIterations() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getEpsilon() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getRandomGenerator() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |