Package kieker.analysis.generic.clustering.mtree
package kieker.analysis.generic.clustering.mtree
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ClassDescriptionA partition function that tries to distribute the data objects equally between the promoted data objects, associating to each promoted data objects the nearest data objects.Some pre-defined implementations of distance functions.An interface to represent coordinates in Euclidean spaces.An object that can calculate the distance between two data objects.ILeafness<DATA>An object with partitions a set of data into two sub-sets.An object that chooses a pair from a set of data objects.Defines an object to be used to split a node in an M-Tree.An object used as the result for the
ISplitFunction.process(Set, IDistanceFunction)method.MTree<T>The main class that implements the M-Tree.A stage to generate an M-Tree with objects of a generic type, with a given distance function.A promotion function object that randomly chooses ("promotes") two data objects.An implementation of the trimmed algorithm.