| Package | Description |
|---|---|
| de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel |
Parallelized implementations of k-means.
|
| de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel |
Parallel implementations of distance-based outlier detectors.
|
| de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel |
Parallelized variants of LOF.
|
| de.lmu.ifi.dbs.elki.parallel |
Parallel processing core for ELKI.
|
| de.lmu.ifi.dbs.elki.parallel.processor |
Processor API of ELKI, and some essential shared processors.
|
| Class and Description |
|---|
| Processor
Class to represent a processor factory.
|
| Processor.Instance
Instance.
|
| Class and Description |
|---|
| AbstractDoubleProcessor
Abstract base class for processors that output double values.
|
| AbstractDoubleProcessor.Instance
Instance.
|
| Processor
Class to represent a processor factory.
|
| Processor.Instance
Instance.
|
| Class and Description |
|---|
| AbstractDoubleProcessor
Abstract base class for processors that output double values.
|
| AbstractDoubleProcessor.Instance
Instance.
|
| Processor
Class to represent a processor factory.
|
| Processor.Instance
Instance.
|
| Class and Description |
|---|
| Processor
Class to represent a processor factory.
|
| Class and Description |
|---|
| AbstractDoubleProcessor
Abstract base class for processors that output double values.
|
| AbstractDoubleProcessor.Instance
Instance.
|
| DoubleMinMaxProcessor.Instance
Instance for a particular sub-channel / part of the data set.
|
| KDistanceProcessor.Instance
Instance for precomputing the kNN.
|
| KNNProcessor.Instance
Instance for precomputing the kNN.
|
| Processor
Class to represent a processor factory.
|
| Processor.Instance
Instance.
|
| WriteDataStoreProcessor.Instance
Instance for a sub-channel.
|
| WriteDoubleDataStoreProcessor.Instance
Instance for a sub-channel.
|
| WriteIntegerDataStoreProcessor.Instance
Instance for a sub-channel.
|
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.