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/*******************************************************************************
* Copyright (c) 2010 Haifeng Li
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*******************************************************************************/
package smile.math.distance;
import smile.math.Math;
/**
* Correlation distance is defined as 1 - correlation coefficient.
*
* @author Haifeng Li
*/
public class CorrelationDistance implements Distance {
/**
* Constructor.
*/
public CorrelationDistance() {
}
@Override
public String toString() {
return "Correlation distance";
}
/**
* Pearson correlation distance between the two arrays of type double.
*/
@Override
public double d(double[] x, double[] y) {
if (x.length != y.length)
throw new IllegalArgumentException(String.format("Arrays have different length: x[%d], y[%d]", x.length, y.length));
return 1 - Math.cor(x, y);
}
/**
* Pearson correlation distance between the two arrays of type int.
*/
public static double pearson(int[] x, int[] y) {
if (x.length != y.length)
throw new IllegalArgumentException(String.format("Arrays have different length: x[%d], y[%d]", x.length, y.length));
return 1 - Math.cor(x, y);
}
/**
* Pearson correlation distance between the two arrays of type float.
*/
public static double pearson(float[] x, float[] y) {
if (x.length != y.length)
throw new IllegalArgumentException(String.format("Arrays have different length: x[%d], y[%d]", x.length, y.length));
return 1 - Math.cor(x, y);
}
/**
* Pearson correlation distance between the two arrays of type double.
*/
public static double pearson(double[] x, double[] y) {
if (x.length != y.length)
throw new IllegalArgumentException(String.format("Arrays have different length: x[%d], y[%d]", x.length, y.length));
return 1 - Math.cor(x, y);
}
/**
* Spearman correlation distance between the two arrays of type int.
*/
public static double spearman(int[] x, int[] y) {
if (x.length != y.length)
throw new IllegalArgumentException(String.format("Arrays have different length: x[%d], y[%d]", x.length, y.length));
return 1 - Math.spearman(x, y);
}
/**
* Spearman correlation distance between the two arrays of type float.
*/
public static double spearman(float[] x, float[] y) {
if (x.length != y.length)
throw new IllegalArgumentException(String.format("Arrays have different length: x[%d], y[%d]", x.length, y.length));
return 1 - Math.spearman(x, y);
}
/**
* Spearman correlation distance between the two arrays of type double.
*/
public static double spearman(double[] x, double[] y) {
if (x.length != y.length)
throw new IllegalArgumentException(String.format("Arrays have different length: x[%d], y[%d]", x.length, y.length));
return 1 - Math.spearman(x, y);
}
/**
* Kendall rank correlation distance between the two arrays of type int.
*/
public static double kendall(int[] x, int[] y) {
if (x.length != y.length)
throw new IllegalArgumentException(String.format("Arrays have different length: x[%d], y[%d]", x.length, y.length));
return 1 - Math.kendall(x, y);
}
/**
* Kendall rank correlation distance between the two arrays of type float.
*/
public static double kendall(float[] x, float[] y) {
if (x.length != y.length)
throw new IllegalArgumentException(String.format("Arrays have different length: x[%d], y[%d]", x.length, y.length));
return 1 - Math.kendall(x, y);
}
/**
* Kendall rank correlation distance between the two arrays of type double.
*/
public static double kendall(double[] x, double[] y) {
if (x.length != y.length)
throw new IllegalArgumentException(String.format("Arrays have different length: x[%d], y[%d]", x.length, y.length));
return 1 - Math.kendall(x, y);
}
}
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