org.apache.commons.math3.fitting
Class GaussianFitter

java.lang.Object
  org.apache.commons.math3.fitting.CurveFitter<Gaussian.Parametric>
      org.apache.commons.math3.fitting.GaussianFitter

public class GaussianFitter
extends CurveFitter<Gaussian.Parametric>

Fits points to a Gaussian function.

Usage example:

   GaussianFitter fitter = new GaussianFitter(
     new LevenbergMarquardtOptimizer());
   fitter.addObservedPoint(4.0254623,  531026.0);
   fitter.addObservedPoint(4.03128248, 984167.0);
   fitter.addObservedPoint(4.03839603, 1887233.0);
   fitter.addObservedPoint(4.04421621, 2687152.0);
   fitter.addObservedPoint(4.05132976, 3461228.0);
   fitter.addObservedPoint(4.05326982, 3580526.0);
   fitter.addObservedPoint(4.05779662, 3439750.0);
   fitter.addObservedPoint(4.0636168,  2877648.0);
   fitter.addObservedPoint(4.06943698, 2175960.0);
   fitter.addObservedPoint(4.07525716, 1447024.0);
   fitter.addObservedPoint(4.08237071, 717104.0);
   fitter.addObservedPoint(4.08366408, 620014.0);
   double[] parameters = fitter.fit();
 

Since:

2.2

Version:

$Id: GaussianFitter.java 7721 2013-02-14 14:07:13Z CardosoP $

Nested Class Summary

static class

GaussianFitter.ParameterGuesser Guesses the parameters norm, mean, and sigma of a Gaussian.Parametric based on the specified observed points.

Constructor Summary

GaussianFitter(MultivariateVectorOptimizer optimizer)
Constructs an instance using the specified optimizer.

Method Summary

double[]	fit() Fits a Gaussian function to the observed points.
double[]	fit(double[] initialGuess) Fits a Gaussian function to the observed points.

Methods inherited from class org.apache.commons.math3.fitting.CurveFitter

addObservedPoint, addObservedPoint, addObservedPoint, clearObservations, fit, fit, getObservations

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

GaussianFitter

public GaussianFitter(MultivariateVectorOptimizer optimizer)

Constructs an instance using the specified optimizer.

Parameters:

optimizer - Optimizer to use for the fitting.

Method Detail

fit

public double[] fit(double[] initialGuess)

Fits a Gaussian function to the observed points.

Parameters:

initialGuess - First guess values in the following order:

• Norm
• Mean
• Sigma

Returns:

the parameters of the Gaussian function that best fits the observed points (in the same order as above).

Since:

3.0

fit

public double[] fit()

Fits a Gaussian function to the observed points.

Returns:

the parameters of the Gaussian function that best fits the observed points (in the same order as above).