org.android.activityminer.logic.classification
Class NormalizerForDataPoints

java.lang.Object
  org.android.activityminer.logic.classification.NormalizerForDataPoints

All Implemented Interfaces:

Normalizer

public final class NormalizerForDataPoints
extends Object
implements Normalizer

Normalizer for Data points

Field Summary

private int	dimensions The point dimensions.
private double[][]	dimValueRanges The array with the cached value range information (minimum, maximum and range) per point dimension.
static int	MAX Index of the value range maximum.
static int	MIN Index of the value range minimum.
static int	RANGE Index of the value range maximum.

Constructor Summary

NormalizerForDataPoints(int dimensions)
Constructor

Method Summary

double[]	getRangeInfo(int idx) Getter for the range info of a given dimension index
private void	initializeValueRangeInfo(double[] point) Method to initialize the range information by a new data point.
double[]	normalize(double[] point) Point value normalization based on the stored range information.
private double	normalize(double value, int idx) Normalization of a single dimension value.
void	prepareWithTrainingData(Set<? extends Activity> trainingSet) Preparation with a training data set
void	setRangeInfo(int idx, double min, double max) Setter for the range info of a given dimension index
private void	updateValueRangeInfo(double[] point) Method to update the stored range information by a new data point.

Methods inherited from class java.lang.Object

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

Field Detail

MIN

public static final int MIN

Index of the value range minimum.

See Also:

Constant Field Values

MAX

public static final int MAX

Index of the value range maximum.

See Also:

Constant Field Values

RANGE

public static final int RANGE

Index of the value range maximum.

See Also:

Constant Field Values

dimValueRanges

private final double[][] dimValueRanges

The array with the cached value range information (minimum, maximum and range) per point dimension.

dimensions

private final int dimensions

The point dimensions.

Constructor Detail

NormalizerForDataPoints

public NormalizerForDataPoints(int dimensions)

Constructor

Parameters:

dimensions - the point dimensions

Method Detail

normalize

public final double[] normalize(double[] point)

Description copied from interface: Normalizer

Point value normalization based on the stored range information.

Specified by:

normalize in interface Normalizer

Parameters:

point - the data point

Returns:

the normalized value

normalize

private final double normalize(double value,
                               int idx)

Normalization of a single dimension value.

Parameters:

value - the value

idx - the dimension index of the value

Returns:

the normalized value

getRangeInfo

public final double[] getRangeInfo(int idx)

Getter for the range info of a given dimension index

Parameters:

idx - the dimension index

Returns:

the normalized value

setRangeInfo

public final void setRangeInfo(int idx,
                               double min,
                               double max)

Setter for the range info of a given dimension index

Parameters:

idx - the dimension index

min - the minimum

max - the maximum

prepareWithTrainingData

public final void prepareWithTrainingData(Set<? extends Activity> trainingSet)

Description copied from interface: Normalizer

Preparation with a training data set

Specified by:

prepareWithTrainingData in interface Normalizer

Parameters:

trainingSet - the training data set

initializeValueRangeInfo

private void initializeValueRangeInfo(double[] point)

Method to initialize the range information by a new data point.

Parameters:

point - the new data point

updateValueRangeInfo

private final void updateValueRangeInfo(double[] point)

Method to update the stored range information by a new data point.

Parameters:

point - the new data point