 | |
RootMeanSquareStdDevTInstance Class | |
Implements an internal evaluation method measuring the root-mean-square standard deviation (RMSSD), i.e., the
square root of the variance between all elements. This criterion considers only the compactness of the clustering
partition.
Inheritance HierarchyNamespace: Aglomera.Evaluation.Internal
Assembly: Aglomera (in Aglomera.dll) Version: 1.1.0
SyntaxC#
public class RootMeanSquareStdDev<TInstance> : IInternalEvaluationCriterion<TInstance> where TInstance : Object, IComparable<TInstance>
Type Parameters
- TInstance
- The type of instance considered.
The RootMeanSquareStdDevTInstance type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | RootMeanSquareStdDevTInstance |
Creates a new RootMeanSquareStdDevTInstance with given dissimilarity metric.
|
Properties| Name | Description | |
|---|---|---|
 | DissimilarityMetric |
Gets the metric used by this criterion to measure the dissimilarity / distance between cluster elements.
|
Methods| Name | Description | |
|---|---|---|
| Equals | (Inherited from Object.) |
| Evaluate |
Evaluates the given ClusterSetTInstance partition according to this evaluation criterion.
|
 | Finalize | (Inherited from Object.) |
| GetHashCode | (Inherited from Object.) |
| GetType | (Inherited from Object.) |
| MemberwiseClone | (Inherited from Object.) |
| ToString | (Inherited from Object.) |
Remarks
In order to select the optimal partition / ClusterSetTInstance using this criterion given
some ClusteringResultTInstance one has to find the 'knee' in the plot of the criterion value vs.
the number of clusters.
See Also