Package | Description |
---|---|
de.lmu.ifi.dbs.elki.datasource.filter.normalization |
Data normalization.
|
de.lmu.ifi.dbs.elki.evaluation.clustering |
Evaluation of clustering results.
|
de.lmu.ifi.dbs.elki.math |
Mathematical operations and utilities used throughout the framework.
|
de.lmu.ifi.dbs.elki.math.histograms |
Classes for computing histograms.
|
Modifier and Type | Field and Description |
---|---|
(package private) MeanVariance[] |
AttributeWiseVarianceNormalization.mvs
Temporary storage used during initialization.
|
Modifier and Type | Method and Description |
---|---|
MeanVariance |
ClusterContingencyTable.averageSymmetricGini()
Compute the average Gini for each cluster (in both clusterings -
symmetric).
|
Modifier and Type | Class and Description |
---|---|
class |
MeanVarianceMinMax
Class collecting mean, variance, minimum and maximum statistics.
|
Modifier and Type | Method and Description |
---|---|
static MeanVariance[] |
MeanVariance.newArray(int dimensionality)
Create and initialize a new array of MeanVariance
|
Constructor and Description |
---|
MeanVariance(MeanVariance other)
Constructor from other instance
|
Modifier and Type | Method and Description |
---|---|
static FlexiHistogram<MeanVariance,Double> |
FlexiHistogram.MeanVarianceHistogram(int bins)
Convenience constructor for
MeanVariance -based Histograms. |
static AggregatingHistogram<MeanVariance,Double> |
AggregatingHistogram.MeanVarianceHistogram(int bins,
double min,
double max)
Convenience constructor for
MeanVariance -based Histograms. |