io.github.msdk.alignment.ransac

Class RANSAC

java.lang.Object

io.github.msdk.alignment.ransac.RANSAC

public class RANSAC
extends Object

input: data - a set of observed data points n - the minimum number of data values required to fit the model k - the maximum number of iterations allowed in the algorithm t - a threshold value for determining when a data point fits a model d - the number of close data values required to assert that a model fits well to data output: model which best fit the data

Constructor Summary

Constructors

Constructor and Description
RANSAC(double t, boolean linear, double dataPointsRate) Constructor for RANSAC.

Method Summary

Modifier and Type	Method and Description
void	alignment(List<AlignStructMol> data) Set all parameters and start ransac.
void	ransac(List<AlignStructMol> data) RANSAC algorithm

Methods inherited from class java.lang.Object

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

Constructor Detail

RANSAC

public RANSAC(double t,
              boolean linear,
              double dataPointsRate)

Constructor for RANSAC.

Parameters:

t - a double.

linear - a boolean.

dataPointsRate - a double.

Method Detail

alignment

public void alignment(List<AlignStructMol> data)

Set all parameters and start ransac.

Parameters:

data - vector with the points which represent all possible alignments.

ransac

public void ransac(List<AlignStructMol> data)

RANSAC algorithm

Parameters:

data - vector with the points which represent all possible alignments.