de.lmu.ifi.dbs.elki.application.experiments

Enum EvaluateIntrinsicDimensionalityEstimators.Aggregate

java.lang.Object

java.lang.Enum<EvaluateIntrinsicDimensionalityEstimators.Aggregate>

de.lmu.ifi.dbs.elki.application.experiments.EvaluateIntrinsicDimensionalityEstimators.Aggregate

All Implemented Interfaces:

Serializable, Comparable<EvaluateIntrinsicDimensionalityEstimators.Aggregate>

Enclosing class:

EvaluateIntrinsicDimensionalityEstimators

public static enum EvaluateIntrinsicDimensionalityEstimators.Aggregate
extends Enum<EvaluateIntrinsicDimensionalityEstimators.Aggregate>

Aggregation methods.

Author:

Erich Schubert

Enum Constant Summary

Enum Constants

Enum Constant and Description
HMEAN Harmonic mean.
MEAN Aggregate using the mean only.
MEAN_STDDEV Aggregate as mean and standard deviation.
MEAN_STDDEV_MIN_MAX Aggregate as mean and standard deviation.
MED_MAD Aggregate using median and MAD.
MED_MAD_MIN_MAX Aggregate using median and MAD.
MEDIAN Aggregate using median.
QUANTILES Selected quantiles.

Method Summary

Methods

Modifier and Type	Method and Description
(package private) abstract double[]	aggregate(double[] data) Aggregate values.
(package private) abstract String[]	description() Descriptions of the aggregate values.
static EvaluateIntrinsicDimensionalityEstimators.Aggregate	valueOf(String name) Returns the enum constant of this type with the specified name.
static EvaluateIntrinsicDimensionalityEstimators.Aggregate[]	values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods inherited from class java.lang.Enum

clone, compareTo, equals, finalize, getDeclaringClass, hashCode, name, ordinal, toString, valueOf

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Enum Constant Detail

MEAN

public static final EvaluateIntrinsicDimensionalityEstimators.Aggregate MEAN

Aggregate using the mean only.

MEAN_STDDEV

public static final EvaluateIntrinsicDimensionalityEstimators.Aggregate MEAN_STDDEV

Aggregate as mean and standard deviation.

MEAN_STDDEV_MIN_MAX

public static final EvaluateIntrinsicDimensionalityEstimators.Aggregate MEAN_STDDEV_MIN_MAX

Aggregate as mean and standard deviation.

HMEAN

public static final EvaluateIntrinsicDimensionalityEstimators.Aggregate HMEAN

Harmonic mean.

MEDIAN

public static final EvaluateIntrinsicDimensionalityEstimators.Aggregate MEDIAN

Aggregate using median.

MED_MAD

public static final EvaluateIntrinsicDimensionalityEstimators.Aggregate MED_MAD

Aggregate using median and MAD.

MED_MAD_MIN_MAX

public static final EvaluateIntrinsicDimensionalityEstimators.Aggregate MED_MAD_MIN_MAX

Aggregate using median and MAD.

QUANTILES

public static final EvaluateIntrinsicDimensionalityEstimators.Aggregate QUANTILES

Selected quantiles.

Method Detail

values

public static EvaluateIntrinsicDimensionalityEstimators.Aggregate[] values()

Returns an array containing the constants of this enum type, in the order they are declared. This method may be used to iterate over the constants as follows:

for (EvaluateIntrinsicDimensionalityEstimators.Aggregate c : EvaluateIntrinsicDimensionalityEstimators.Aggregate.values())
    System.out.println(c);

Returns:

an array containing the constants of this enum type, in the order they are declared

valueOf

public static EvaluateIntrinsicDimensionalityEstimators.Aggregate valueOf(String name)

Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (Extraneous whitespace characters are not permitted.)

Parameters:

name - the name of the enum constant to be returned.

Returns:

the enum constant with the specified name

Throws:

IllegalArgumentException - if this enum type has no constant with the specified name

NullPointerException - if the argument is null

aggregate

abstract double[] aggregate(double[] data)

Aggregate values.

Parameters:

data - Data to aggregate.

Returns:

Aggregated values.

description

abstract String[] description()

Descriptions of the aggregate values.

Returns:

Descriptions