Interface | Description |
---|---|
DistanceMeasure |
The DistanceMeasure interface gives users the ability to use a wide variety
of distance measures when performing KMeans clustering.
|
Class | Description |
---|---|
Cluster |
Cluster is a class that encapsulates a set of similar N-dimensional vector
data.
|
ClusterKDDMatrix |
The ClusterKDDMatrix is a subclass of KDDMatrix that provides a cluster
method that produces a set of Clusters.
|
ComparativeKMeansStrategy |
The ComparativeKMeansStrategy performs a basic KMeans clustering algorithm on
a matrix that is the difference between a loaded set of analysis data and a
given reference set of data.
|
EuclideanDistanceMeasure | |
RawKMeansBuilder |
The RawKMeansBuilder is a realization of the KDDStrategyBuilder and is used
to validate incoming data and return a new instance of the RawKMeansStrategy.
|
RawKMeansStrategy |
RawKMeansStrategy is a subclass of KDDStrategy that provides an
executeStrategy method that runs the KMeans clustering algorithm for a raw
data set (matrix).
|