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public interface MLClustering
A machine learning method that is used to break data into clusters. The number of clusters is usually defined beforehand. This differs from the MLClassification method in that the data is clustered as an entire group. If additional data must be clustered later, the entire group must be reclustered.
Method Summary | |
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MLCluster[] |
getClusters()
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void |
iteration()
Perform the training iteration. |
void |
iteration(int count)
Perform the specified number of training iterations. |
int |
numClusters()
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Method Detail |
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void iteration()
void iteration(int count)
count
- The number of training iterations.MLCluster[] getClusters()
int numClusters()
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