Package org.apache.flink.examples.scala.clustering

Interface Summary

Interface	Description
KMeans.Coordinate	Common trait for operations supported by both points and centroids Note: case class inheritance is not allowed in Scala

Class Summary

Class	Description
KMeans	This example implements a basic K-Means clustering algorithm.
KMeans.Centroid	A simple two-dimensional centroid, basically a point with an ID.
KMeans.Centroid$
KMeans.Point	A simple two-dimensional point.
KMeans.Point$
KMeans.SelectNearestCenter	Determines the closest cluster center for a data point.
KMeans$	This example implements a basic K-Means clustering algorithm.