Package javax.datamining.clustering

This package contains Java classes describing the settings, model and apply output for clustering.

See:
Description

Interface Summary

Cluster	A Cluster object holds the metadata about a cluster discovered by running a clustering algorithm.
ClusteringAlgorithmSettings	ClusteringAlgorithmSettings is the common interface for clustering algorithm settings classes.
ClusteringApplySettings	A ClusteringApplySettings captures a specification that prescribes the output of an apply task specific to a clustering model.
ClusteringApplySettingsFactory	A factory class that creates instances of ClusteringApplySettings.
ClusteringModel	A ClusteringModel object holds the metadata of the result of a trained clustering model.
ClusteringSettings	A ClusteringSettings instance holds metadata for required settings common to all clustering algorithms.
ClusteringSettingsFactory	A factory class that creates instances of ClusteringSettings.
ClusteringSignatureAttribute	A ClusteringSignatureAttribute represents the signature of an attribute that participated in building the model.
SimilarityMatrix	A SimilarityMatrix specifies the similarity values between two values of an attribute.
SimilarityMatrixFactory	A factory class that creates instances of SimilarityMatrix.

Class Summary

AggregationFunction	AggregationFunction describes the aggregation function to be used to determine the similarity between two cases (outer comparison function).
AttributeComparisonFunction	The enumeration AttributeComparisonFunction describes the comparison function to be used to determine the similarity between two values of an attribute (inner comparison function).
ClusteringApplyCapability	The enumeration ClusteringApplyContentCapability lists the capabilities that are provided for clustering apply settings.
ClusteringApplyContent	The enumeration ClusteringApplyContent designates the types of generated value to appear in the apply output of a clustering model.
ClusteringCapability	The enumeration ClusteringCapability enumerates a list of the capabilities of the clustering function being supported in a particular implementation.
ClusteringModelProperty	The enumeration ClusteringModelProperty enumerates a list of the capabilities of the clustering model being supported in a particular implementation.

Package javax.datamining.clustering Description

This package contains Java classes describing the settings, model and apply output for clustering. Clustering analysis identifies clusters embedded in the data, where a cluster is a set of cases that are similar to one another. A good clustering method produces high quality clusters to ensure that the inter-cluster similarity is low and the intra-cluster similarity is high. Similarity can be expressed using a distance function.