Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation |
Correlation clustering algorithms
|
de.lmu.ifi.dbs.elki.data.model |
Cluster models classes for various algorithms.
|
de.lmu.ifi.dbs.elki.datasource.filter.normalization |
Data normalization.
|
Modifier and Type | Method and Description |
---|---|
private Clustering<Model> |
CASH.doRun(Relation<ParameterizationFunction> relation,
FiniteProgress progress)
Runs the CASH algorithm on the specified database, this method is
recursively called until only noise is left.
|
Modifier and Type | Method and Description |
---|---|
LinearEquationSystem |
CorrelationAnalysisSolution.getNormalizedLinearEquationSystem(Normalization<?> normalization)
Returns the linear equation system for printing purposes.
|
Modifier and Type | Method and Description |
---|---|
MultipleObjectsBundle |
AbstractStreamNormalization.normalizeObjects(MultipleObjectsBundle objects) |
MultipleObjectsBundle |
AbstractNormalization.normalizeObjects(MultipleObjectsBundle objects) |
MultipleObjectsBundle |
Normalization.normalizeObjects(MultipleObjectsBundle objects)
Performs a normalization on a database object bundle.
|
O |
AttributeWiseErfNormalization.restore(O featureVector) |
O |
Normalization.restore(O featureVector)
Transforms a feature vector to the original attribute ranges.
|
V |
LengthNormalization.restore(V featureVector) |
V |
AttributeWiseMinMaxNormalization.restore(V featureVector) |
V |
AttributeWiseVarianceNormalization.restore(V featureVector) |
LinearEquationSystem |
Normalization.transform(LinearEquationSystem linearEquationSystem)
Transforms a linear equation system describing linear dependencies
derived on the normalized space into a linear equation system describing
linear dependencies quantitatively adapted to the original space.
|