smile.math.kernel.ThinPlateSplineKernel Maven / Gradle / Ivy
The newest version!
/*******************************************************************************
* 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.kernel;
import smile.math.Math;
/**
* The Thin Plate Spline Kernel. k(u, v) = (||u-v|| / σ)2 log (||u-v|| / σ),
* where σ > 0 is the scale parameter of the kernel.
*
* @author Haifeng Li
*/
public class ThinPlateSplineKernel implements MercerKernel {
/**
* The width of the kernel.
*/
private double sigma;
/**
* Constructor.
* @param sigma the smooth/width parameter of Thin Plate Spline kernel.
*/
public ThinPlateSplineKernel(double sigma) {
if (sigma <= 0)
throw new IllegalArgumentException("sigma is not positive.");
this.sigma = sigma;
}
@Override
public String toString() {
return String.format("Thin Plate Spline Kernel (\u02E0 = %.4f)", sigma);
}
@Override
public double k(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));
double d = 0.0;
for (int i = 0; i < x.length; i++) {
double dxy = x[i] - y[i];
d += dxy * dxy;
}
return d/(sigma*sigma) * Math.log(Math.sqrt(d)/sigma);
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy