de.lmu.ifi.dbs.elki.algorithm.timeseries

Class SigniTrendChangeDetection.Instance

java.lang.Object

de.lmu.ifi.dbs.elki.algorithm.timeseries.SigniTrendChangeDetection.Instance

Enclosing class:

SigniTrendChangeDetection

protected class SigniTrendChangeDetection.Instance
extends java.lang.Object

Instance for one data set.

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
protected double[]	ewma Moving average and variance.
protected double[]	ewmv Moving average and variance.
protected double	weight Current weight:

Constructor Summary

Constructors

Constructor and Description
Instance() Constructor.

Method Summary

Modifier and Type	Method and Description
private double	processRow(DBIDRef iter, NumberVector row, ChangePoints changepoints) Process one row, assuming a constant time interval.
ChangePoints	run(Relation<NumberVector> relation) Process a relation.

Methods inherited from class java.lang.Object

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

Field Detail

ewma

protected double[] ewma

Moving average and variance.

ewmv

protected double[] ewmv

Moving average and variance.

weight

protected double weight

Current weight:

Constructor Detail

Instance

public Instance()

Constructor.

Method Detail

run

public ChangePoints run(Relation<NumberVector> relation)

Process a relation.

Parameters:

relation - Data relation

Returns:

Change points

processRow

private double processRow(DBIDRef iter,
                          NumberVector row,
                          ChangePoints changepoints)

Process one row, assuming a constant time interval.

Parameters:

iter - Row identifier for reporting.

row - Data row

changepoints - Change points result for output

Returns:

absolute maximum deviation.