org.apache.commons.math3.fitting
Class GaussianFitter

java.lang.Object
  extended by org.apache.commons.math3.fitting.CurveFitter<Gaussian.Parametric>
      extended by 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 1416643 2012-12-03 19:37:14Z tn $

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).


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