Package | Description |
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de.lmu.ifi.dbs.elki.algorithm.outlier.distance.parallel |
Parallel implementations of distance-based outlier detectors.
|
de.lmu.ifi.dbs.elki.parallel.processor |
Processor API of ELKI, and some essential shared processors.
|
Modifier and Type | Field and Description |
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(package private) SharedObject<? extends KNNList> |
KNNWeightProcessor.input
KNN query object
|
Modifier and Type | Method and Description |
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void |
KNNWeightProcessor.connectKNNInput(SharedObject<? extends KNNList> input)
Connect the input channel.
|
Modifier and Type | Field and Description |
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(package private) SharedObject<? extends KNNList> |
KDistanceProcessor.input
KNN query object
|
(package private) SharedObject<T> |
WriteDataStoreProcessor.input
Input variable
|
(package private) SharedObject<KNNList> |
KNNProcessor.out
Output channel to write to
|
Modifier and Type | Method and Description |
---|---|
void |
WriteDataStoreProcessor.connectInput(SharedObject<T> input)
Connect the data source
|
void |
KDistanceProcessor.connectKNNInput(SharedObject<? extends KNNList> input)
Connect the input channel.
|
void |
KNNProcessor.connectKNNOutput(SharedObject<KNNList> output)
Connect the output channel.
|
Copyright © 2019 ELKI Development Team. License information.