- getCentroids() - Method in class KMeansClusterer
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Return the array of centroids indexed by cluster number and centroid dimension.
- getClusters() - Method in class KMeansClusterer
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Return a parallel array of cluster assignments such that data[i] belongs to the cluster clusters[i] with centroid centroids[clusters[i]].
- getData() - Method in class KMeansClusterer
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Return the clustering data as a double[][] with each row being a data point and each column being a dimension of the data.
- getDim() - Method in class KMeansClusterer
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Return the number of dimensions of the clustering data.
- getK() - Method in class KMeansClusterer
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Return the number of clusters k.
- getWCSS() - Method in class KMeansClusterer
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Return the minimum Within-Clusters Sum-of-Squares measure for the chosen k number of clusters.