Package oracle.spatial.hadoop.vector.cluster.kmeans.mapreduce

Contains mapreduce-related components (Hadoop new API) to perform the k-means clustering algorithm.

See: Description

Class Summary

Class	Description
KMeansMapper<K,V>	A subclass of Mapper that maps each input record to its closest cluster center. Emitted key and value are a ClusterInfo instance containing the cluster information and a RecordInfo instance containing the information of the record mapped to the cluster.
KMeansReducer	updates a cluster center based on its members locations, determines if the cluster center converges and emits the updated cluster information.
KMeansSampler<K,V>	Provides a sample containing points from an input data set.
PointKeyInputFormat<K,V>	InputFormat implementation that returns each input record with spatial information as single point.

Package oracle.spatial.hadoop.vector.cluster.kmeans.mapreduce Description

Contains mapreduce-related components (Hadoop new API) to perform the k-means clustering algorithm.