Package edu.cmu.tetrad.simulation

Class Vicinity

java.lang.Object

edu.cmu.tetrad.simulation.Vicinity

public class Vicinity
extends Object

This version of Vicinity finds nearby nodes by searching with an expanding cube Prior to Vicinity4, versions of Vicinity looked at the 3 axis independently instead of collectively.

Vicinity5 improves on Vicinity4 by allowing for the nodes to not be distributed evenly throughout the location space. This is needed for fMRI data when the voxels are not perfect cubes.

Version:

$Id: $Id

Author:

josephramsey, Erich Kummerfeld

Constructor Summary

Constructors

Constructor	Description
Vicinity(List<Edge> edges, DataSet locationMap, int xLow, int xHigh, int yLow, int yHigh, int zLow, int zHigh, double xDist, double yDist, double zDist)	Constructor for Vicinity.

Method Summary

Modifier and Type	Method	Description
List<Edge>	getVicinity(Edge edge, int chunk)	getVicinity.

Methods inherited from class java.lang.Object

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

Constructor Details

Vicinity

public Vicinity(List<Edge> edges,
 DataSet locationMap,
 int xLow,
 int xHigh,
 int yLow,
 int yHigh,
 int zLow,
 int zHigh,
 double xDist,
 double yDist,
 double zDist)

Constructor for Vicinity.

Parameters:

edges - a List object

locationMap - a DataSet object

xLow - a int

xHigh - a int

yLow - a int

yHigh - a int

zLow - a int

zHigh - a int

xDist - a double

yDist - a double

zDist - a double

Method Details

getVicinity

public List<Edge> getVicinity(Edge edge,
 int chunk)

getVicinity.

Parameters:

edge - a Edge object

chunk - a int

Returns:

a List object