de.lmu.ifi.dbs.elki.data
Class RealVector<V extends RealVector<V,N>,N extends Number>

java.lang.Object
  de.lmu.ifi.dbs.elki.data.AbstractDatabaseObject
      de.lmu.ifi.dbs.elki.data.NumberVector<V,N>
          de.lmu.ifi.dbs.elki.data.RealVector<V,N>

Type Parameters:

V - the concrete type of this RealVector

N - the type of number, this RealVector consists of (i.e., a RealVector v of type V and dimensionality d is an element of Nd)

All Implemented Interfaces:

DatabaseObject, FeatureVector<V,N>, SpatialComparable, SpatialObject

Direct Known Subclasses:

DoubleVector, FloatVector, SparseFloatVector

public abstract class RealVector<V extends RealVector<V,N>,N extends Number>
extends NumberVector<V,N>

RealVector is an abstract super class for all feature vectors having real numbers as values.

Author:

Elke Achtert

Field Summary

Fields inherited from class de.lmu.ifi.dbs.elki.data.NumberVector

ATTRIBUTE_SEPARATOR

Constructor Summary

RealVector()

Method Summary

abstract V

newInstance(double[] values) Returns a new RealVector of N for the given values.

Methods inherited from class de.lmu.ifi.dbs.elki.data.NumberVector

equals, getMax, getMin, getRange

Methods inherited from class de.lmu.ifi.dbs.elki.data.AbstractDatabaseObject

getID, setID

Methods inherited from class java.lang.Object

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

Methods inherited from interface de.lmu.ifi.dbs.elki.data.FeatureVector

getColumnVector, getDimensionality, getRowVector, getValue, multiplicate, negativeVector, newInstance, newInstance, nullVector, plus, randomInstance, randomInstance, randomInstance, toString

Methods inherited from interface de.lmu.ifi.dbs.elki.data.DatabaseObject

getID, setID

Methods inherited from interface de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialObject

getID

Constructor Detail

RealVector

public RealVector()

Method Detail

newInstance

public abstract V newInstance(double[] values)

Returns a new RealVector of N for the given values.

Parameters:

values - the values of the featureVector

Returns:

a new FeatureVector of T for the given values