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