Documentation of 'medusa.georgios.enhanced_mcl.Clusterer' Java class
Clusterer
medusa.georgios.enhanced_mcl

Interface Clusterer

  • All Known Implementing Classes:
    MCL


    public interface Clusterer
    A common interface for all clustering techniques. There is only one method that should be implemented.
    • Method Detail

      • cluster

        Dataset[] cluster(Dataset data)
        This method will execute the clustering algorithm on a particular data set. The result will be an array of Dataset where each data set is a cluster.
        Parameters:
        data - the data set on which to execute the clustering.
        Returns:
        the different clusters obtained by this clustering algorithm. Each cluster is represented as a separate data set.

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