Class GaussianFitter


  • public class GaussianFitter
    extends java.lang.Object
    Fits points to a Gaussian function (that is, a GaussianFunction).

    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);
      GaussianFunction fitFunction = fitter.fit();
     
    Since:
    2.2
    See Also:
    ParametricGaussianFunction
    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      void addObservedPoint​(double x, double y)
      Adds point (x, y) to list of observed points with a weight of 1.0.
      void addObservedPoint​(double weight, double x, double y)
      Adds point (x, y) to list of observed points with a weight of weight.
      GaussianFunction fit()
      Fits Gaussian function to the observed points.
      • Methods inherited from class java.lang.Object

        equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
    • Method Detail

      • addObservedPoint

        public void addObservedPoint​(double x,
                                     double y)
        Adds point (x, y) to list of observed points with a weight of 1.0.
        Parameters:
        x - x point value
        y - y point value
      • addObservedPoint

        public void addObservedPoint​(double weight,
                                     double x,
                                     double y)
        Adds point (x, y) to list of observed points with a weight of weight.
        Parameters:
        weight - weight assigned to point
        x - x point value
        y - y point value