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Carrot2 Text Clustering Library
/*
* Carrot2 project.
*
* Copyright (C) 2002-2020, Dawid Weiss, Stanisław Osiński.
* All rights reserved.
*
* Refer to the full license file "carrot2.LICENSE"
* in the root folder of the repository checkout or at:
* https://www.carrot2.org/carrot2.LICENSE
*/
package org.carrot2.math;
/**
* A simple utility for calculating linear approximations based on values for equally distributed
* points between minimum and maximum arguments.
*/
public class LinearApproximation {
/** Values to base the approximation on */
private double[] points;
/** Minimum argument value */
private double argMin;
/** Maximum argument value */
private double argMax;
/** Step between value points */
private double step;
/** Argument value ranges */
private double[] arguments;
public LinearApproximation(double[] points, double argMin, double argMax) {
this.points = points;
this.argMin = argMin;
this.argMax = argMax;
arguments = new double[points.length];
step = (argMax - argMin) / (points.length - 1);
for (int i = 0; i < arguments.length; i++) {
arguments[i] = argMin + step * i;
}
}
/** Returns approximated value for the provided argument. */
public double getValue(double argument) {
if (points.length == 1) {
return points[0];
}
if (argument <= arguments[0]) {
return points[0];
} else if (argument >= arguments[arguments.length - 1]) {
return points[points.length - 1];
} else {
int bucket = (int) ((points.length - 1) * (argument - argMin) / (argMax - argMin));
return points[bucket]
+ ((argument - arguments[bucket]) / step) * (points[bucket + 1] - points[bucket]);
}
}
}
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