smile.math.distance.CorrelationDistance Maven / Gradle / Ivy
/*******************************************************************************
* Copyright (c) 2010-2020 Haifeng Li. All rights reserved.
*
* Smile is free software: you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as
* published by the Free Software Foundation, either version 3 of
* the License, or (at your option) any later version.
*
* Smile is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with Smile. If not, see .
******************************************************************************/
package smile.math.distance;
import smile.math.MathEx;
import java.util.function.ToDoubleBiFunction;
/**
* Correlation distance is defined as 1 - correlation coefficient.
*
* @author Haifeng Li
*/
public class CorrelationDistance implements Distance {
private static final long serialVersionUID = 1L;
/** A character string indicating what type of correlation is employed. */
private String method;
/** Correlation lambda. */
private ToDoubleBiFunction cor;
/**
* Constructor of Pearson correlation distance.
*/
public CorrelationDistance() {
this("pearson");
}
/**
* Constructor.
*/
public CorrelationDistance(String method) {
this.method = method.trim().toLowerCase();
switch (this.method) {
case "pearson":
cor = (x, y) -> 1 - MathEx.cor(x, y);
break;
case "spearman":
cor = (x, y) -> 1 - MathEx.spearman(x, y);
break;
case "kendall":
cor = (x, y) -> 1 - MathEx.kendall(x, y);
break;
default:
throw new IllegalArgumentException("Invalid correlation: " + method);
}
}
@Override
public String toString() {
return String.format("Correlation Distance(%s)", method);
}
/**
* Pearson correlation distance between the two arrays of type double.
*/
@Override
public double d(double[] x, double[] y) {
return cor.applyAsDouble(x, y);
}
}