Package kieker.analysis.generic.clustering

Copyright 2022 Kieker Project (http://kieker-monitoring.net) Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
  • Class Summary 
    Class Description
    Clustering<T>
    A type for the result of a clustering algorithm.
    ClusteringCompositeStage<T>
    A composite stage, to perform the entire clustering.
    ClusteringFileSink<T>
    A sink stage, which returns all clusters and all noise objects.
    ClusterMedoidFilesSink<T>
    This is a sink stage, that returns a JSON object, for each cluster medoid.
    DataCollectorStage<T>
    Collect objects until a time trigger has been received or the maximal amount of events have been collected.
    ExtractDBScanClustersStage<T>
    The algorithm extracts clusters, which are equivalent to DBScan clusters from the OPTICS plot.
    MedoidGenerator<T>
    This stage calculates the medoid of the clusters using the trimmed algorithm.
    NaiveMedoidGenerator<T>
    The naive medoid algorithm, where all pairwise distances are calculated.