| AverageInterclusterDistance |
Average intercluster distance.
|
| AverageIntraclusterDistance |
Average intracluster distance.
|
| BIRCHAbsorptionCriterion |
BIRCH absorption criterion.
|
| BIRCHDistance |
Distance function for BIRCH clustering.
|
| BIRCHKMeansPlusPlus |
K-Means++-like initialization for BIRCH k-means; this cannot be used to
initialize regular k-means, use KMeansPlusPlus instead. |
| BIRCHLeafClustering |
BIRCH-based clustering algorithm that simply treats the leafs of the CFTree
as clusters.
|
| BIRCHLloydKMeans |
BIRCH-based clustering algorithm that simply treats the leafs of the CFTree
as clusters.
|
| CentroidEuclideanDistance |
Centroid Euclidean distance.
|
| CentroidManhattanDistance |
Centroid Manhattan Distance
|
| CFTree |
Partial implementation of the CFTree as used by BIRCH.
|
| CFTree.Factory |
CF-Tree Factory.
|
| CFTree.LeafIterator |
Iterator over leaf nodes.
|
| CFTree.TreeNode |
Inner node.
|
| ClusteringFeature |
Clustering Feature of BIRCH
|
| DiameterCriterion |
Average Radius (R) criterion.
|
| EuclideanDistanceCriterion |
Distance criterion.
|
| RadiusCriterion |
Average Radius (R) criterion.
|
| VarianceIncreaseDistance |
Variance increase distance.
|