Package | Description |
---|---|
de.lmu.ifi.dbs.elki.data.model |
Cluster models classes for various algorithms.
|
de.lmu.ifi.dbs.elki.datasource.filter.normalization |
Data normalization.
|
de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise |
Normalizations operating on columns / variates; where each column is treated independently.
|
de.lmu.ifi.dbs.elki.datasource.filter.normalization.instancewise |
Instancewise normalization, where each instance is normalized independently.
|
Class and Description |
---|
NonNumericFeaturesException
An exception to signal the encounter of non numeric features where numeric
features have been expected.
|
Normalization
Normalization performs a normalization on a set of feature vectors and is
capable to transform a set of feature vectors to the original attribute
ranges.
|
Class and Description |
---|
NonNumericFeaturesException
An exception to signal the encounter of non numeric features where numeric
features have been expected.
|
Normalization
Normalization performs a normalization on a set of feature vectors and is
capable to transform a set of feature vectors to the original attribute
ranges.
|
Class and Description |
---|
AbstractNormalization
Abstract super class for all normalizations.
|
NonNumericFeaturesException
An exception to signal the encounter of non numeric features where numeric
features have been expected.
|
Normalization
Normalization performs a normalization on a set of feature vectors and is
capable to transform a set of feature vectors to the original attribute
ranges.
|
Class and Description |
---|
AbstractStreamNormalization
Abstract super class for all normalizations.
|
Normalization
Normalization performs a normalization on a set of feature vectors and is
capable to transform a set of feature vectors to the original attribute
ranges.
|
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.