Uses of Interface
de.uni_trier.wi2.procake.similarity.base.aggregate.SMAggregate

Packages that use SMAggregate

Package	Description
de.uni_trier.wi2.procake.similarity.base.aggregate
de.uni_trier.wi2.procake.similarity.base.aggregate.impl

Uses of SMAggregate in de.uni_trier.wi2.procake.similarity.base.aggregate

Subinterfaces of SMAggregate in de.uni_trier.wi2.procake.similarity.base.aggregate

Modifier and Type	Interface	Description
interface	SMAggregateAverage	The weighted average is the most typically used aggregation function.
interface	SMAggregateEuclidian	The Euclidian aggregation is the same as Minkowski aggregation with a fixed p = 2.
interface	SMAggregateKMaximum	The k-maximum aggregation is a generalization of the standard maximum aggregation.
interface	SMAggregateKMinimum	The k-minimum aggregation is a generalization of the standard minimum aggregation.
interface	SMAggregateMaximum	When using the maximum aggregation, the overall similarity is determined by the maximum local similarity.
interface	SMAggregateMinimum	When using the minimum aggregation, the overall similarity is determined by the minimum local similarity.
interface	SMAggregateMinkowski	The Minkowski aggregation is a generalization of this weighted average.
interface	SMAggregateWeighted	Abstract interface for aggregate similarity measures with weighted attributes.

Uses of SMAggregate in de.uni_trier.wi2.procake.similarity.base.aggregate.impl

Classes in de.uni_trier.wi2.procake.similarity.base.aggregate.impl that implement SMAggregate

Modifier and Type	Class	Description
class	SMAggregateAverageImpl
class	SMAggregateEuclidianImpl
class	SMAggregateImpl
class	SMAggregateKMaximumImpl
class	SMAggregateKMinimumImpl
class	SMAggregateMaximumImpl
class	SMAggregateMinimumImpl
class	SMAggregateMinkowskiImpl
class	SMAggregateWeightedImpl