Many resources are needed to download a project. Please understand that we have to compensate our server costs. Thank you in advance. Project price only 1 $
You can buy this project and download/modify it how often you want.
/******************************************************************************
* Confidential Proprietary *
* (c) Copyright Haifeng Li 2011, All Rights Reserved *
******************************************************************************/
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);
}
}
