Package | Description |
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de.lmu.ifi.dbs.elki.algorithm.timeseries |
Algorithms for change point detection in time series.
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Modifier and Type | Field and Description |
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(package private) ChangePoints |
OfflineChangePointDetectionAlgorithm.Instance.result
Result to output to.
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Modifier and Type | Method and Description |
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ChangePoints |
OfflineChangePointDetectionAlgorithm.run(Relation<DoubleVector> relation)
Executes multiple change point detection for given relation
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ChangePoints |
OfflineChangePointDetectionAlgorithm.Instance.run(Relation<DoubleVector> relation)
Run the change point detection algorithm on a data relation.
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ChangePoints |
SigniTrendChangeDetection.run(Relation<NumberVector> relation)
Executes Signi-Trend for given relation
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ChangePoints |
SigniTrendChangeDetection.Instance.run(Relation<NumberVector> relation)
Process a relation.
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Modifier and Type | Method and Description |
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private double |
SigniTrendChangeDetection.Instance.processRow(DBIDRef iter,
NumberVector row,
ChangePoints changepoints)
Process one row, assuming a constant time interval.
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Copyright © 2019 ELKI Development Team. License information.