net.sourceforge.cilib.math
Class Stats

java.lang.Object
  net.sourceforge.cilib.math.Stats

public final class Stats
extends Object

Some simple methods for determining some statistics.

Method Summary

static double	mean(Vector vector)
static Vector	meanVector(Collection<ClusterableDataSet.Pattern> set) Calculates the mean Vector of the given set/cluster/collection of ClusterableDataSet.Patterns.
static double	stdDeviation(Vector vector)
static double	variance(Collection<ClusterableDataSet.Pattern> set, Vector center) Calculates the variance of the given set/cluster/collection of @{link Pattern}s.
static double	variance(Vector vector)

Methods inherited from class java.lang.Object

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

Method Detail

mean

public static double mean(Vector vector)

Parameters:

vector -

Returns:

meanVector

public static Vector meanVector(Collection<ClusterableDataSet.Pattern> set)

Calculates the mean Vector of the given set/cluster/collection of ClusterableDataSet.Patterns. This is illustrated in Equation 4.b of:

Parameters:

set - a set (ArrayList) of ClusterableDataSet.Patterns

Returns:

a Vector that represents the mean/center of the given set

variance

public static double variance(Vector vector)

Parameters:

vector -

Returns:

variance

public static double variance(Collection<ClusterableDataSet.Pattern> set,
                              Vector center)

Calculates the variance of the given set/cluster/collection of @{link Pattern}s. This is illustrated in Equation 4.c of:
@InProceedings{ 657864, author = "Maria Halkidi and Michalis Vazirgiannis", title = "Clustering Validity Assessment: Finding the Optimal Partitioning of a Data Set", booktitle = "Proceedings of the IEEE International Conference on Data Mining", year = "2001", isbn = "0-7695-1119-8", pages = "187--194", publisher = "IEEE Computer Society", address = "Washington, DC, USA" }

Parameters:

set - a set (ArrayList) of ClusterableDataSet.Patterns

center - a Vector that represents the mean/center of the accompanied set

Returns:

a double representing the variance of the given set with the given center

stdDeviation

public static double stdDeviation(Vector vector)

Parameters:

vector -

Returns: