org.apache.mahout.clustering.iterator
Class CanopyClusteringPolicy
java.lang.Object
org.apache.mahout.clustering.iterator.AbstractClusteringPolicy
org.apache.mahout.clustering.iterator.CanopyClusteringPolicy
- All Implemented Interfaces:
- org.apache.hadoop.io.Writable, ClusteringPolicy
public class CanopyClusteringPolicy
- extends AbstractClusteringPolicy
This is a simple maximum likelihood clustering policy, suitable for k-means
clustering
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
CanopyClusteringPolicy
public CanopyClusteringPolicy()
select
public Vector select(Vector probabilities)
- Description copied from interface:
ClusteringPolicy
- Return a vector of weights for each of the models given those probabilities
- Specified by:
select
in interface ClusteringPolicy
- Overrides:
select
in class AbstractClusteringPolicy
- Parameters:
probabilities
- a Vector of pdfs
- Returns:
- a Vector of weights
write
public void write(DataOutput out)
throws IOException
- Specified by:
write
in interface org.apache.hadoop.io.Writable
- Specified by:
write
in class AbstractClusteringPolicy
- Throws:
IOException
readFields
public void readFields(DataInput in)
throws IOException
- Specified by:
readFields
in interface org.apache.hadoop.io.Writable
- Specified by:
readFields
in class AbstractClusteringPolicy
- Throws:
IOException
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