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See:
Description
Interface Summary | |
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KMeansConfigKeys | This class holds all config keys that are relevant to be used in the KMeans MapReduce configuration. |
Class Summary | |
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Cluster | |
KMeansClusterer | This class implements the k-means clustering algorithm. |
KMeansClusterMapper | The KMeansClusterMapper is responsible for calculating
which points belong to which clusters and outputting the information. |
KMeansCombiner | |
KMeansDriver | |
KMeansMapper | |
KMeansReducer | |
RandomSeedGenerator | Given an Input Path containing a SequenceFile , randomly select k vectors and
write them to the output file as a Cluster representing the
initial centroid to use. |
This package provides an implementation of the k-means clustering algorithm.
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