tech.tablesaw.api.ml.clustering

Class Kmeans

java.lang.Object

tech.tablesaw.api.ml.clustering.Kmeans

public class Kmeans
extends Object

K-Means clustering

Constructor Summary

Constructors

Constructor and Description
Kmeans(int k, int maxIterations, NumericColumn... columns)
Kmeans(int k, NumericColumn... columns)

Method Summary

Modifier and Type	Method and Description
double[][]	centroids()
Table	clustered(Column labels)
double	distortion()
int	getClusterCount()
int[]	getClusterLabels()
int[]	getClusterSizes()
Table	labeledCentroids()
int	predict(double[] x)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Kmeans

public Kmeans(int k,
              NumericColumn... columns)

Kmeans

public Kmeans(int k,
              int maxIterations,
              NumericColumn... columns)

Method Detail

predict

public int predict(double[] x)

centroids

public double[][] centroids()

distortion

public double distortion()

getClusterCount

public int getClusterCount()

getClusterLabels

public int[] getClusterLabels()

getClusterSizes

public int[] getClusterSizes()

clustered

public Table clustered(Column labels)

labeledCentroids

public Table labeledCentroids()