databionics.esom.neighborhood
Class ConeNeighborhood

java.lang.Object
  databionics.esom.neighborhood.Neighborhood
      databionics.esom.neighborhood.CachedNeighborhood
          databionics.esom.neighborhood.ConeNeighborhood

public class ConeNeighborhood
extends CachedNeighborhood

Simple but fast and effective neighborhood kernel with linear decay.

Field Summary

protected static org.apache.log4j.Logger

log interface to log4j system

Fields inherited from class databionics.esom.neighborhood.CachedNeighborhood

weights

Fields inherited from class databionics.esom.neighborhood.Neighborhood

radius, scaling

Constructor Summary

ConeNeighborhood()
Create a new neighborhood object

ConeNeighborhood(int radius, double scaling)
Create a new neighborhood object

Method Summary

protected double

calculate(int distance) Calculate the weight value for this distance.

Methods inherited from class databionics.esom.neighborhood.CachedNeighborhood

get, init

Methods inherited from class databionics.esom.neighborhood.Neighborhood

setRadius, setScaling

Methods inherited from class java.lang.Object

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

Field Detail

log

protected static final org.apache.log4j.Logger log

interface to log4j system

Constructor Detail

ConeNeighborhood

public ConeNeighborhood()

Create a new neighborhood object

ConeNeighborhood

public ConeNeighborhood(int radius,
                        double scaling)

Create a new neighborhood object

Parameters:

radius - radius of kernel

scaling - scaling factor for all weights

Method Detail

calculate

protected double calculate(int distance)

Calculate the weight value for this distance. The center weight is 1. The weight for the maximum distance radius is 1/(radius+1)

Specified by:

calculate in class Neighborhood

Parameters:

distance - distance from center ([0..radius])

Returns:

weight value for this distance