fr.lip6.type
Class MLVector<T>

java.lang.Object
  fr.lip6.type.MLVector<T>

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable

Direct Known Subclasses:

ByteVector, DoubleVector, FloatVector, IntVector

public abstract class MLVector<T>
extends java.lang.Object
implements java.io.Serializable, java.lang.Cloneable

See Also:

Serialized Form

Field Summary

protected double	eps
int	length
T	values

Constructor Summary

MLVector()

Method Summary

abstract MLVector<T>	add(MLVector<T> lvector) addition of vectors
abstract double	distChi1(MLVector<T> lv) chi² distance with abs() instead of pow()
abstract double	distChi2(MLVector<T> lv) Chi² distance between vectors.
abstract double	distL2(MLVector<T> lv) L2 distance between the vectors.
abstract double	dot(MLVector<T> lvector) return dot product (scalar product)
abstract MLVector<T>	mult(double d) multiplicaton par un scalaire.
abstract MLVector<T>	mult(MLVector<T> lv) multiplication membre à membre
abstract MLVector<T>	Normalize() return a Vector colinear to this with norm 1
abstract MLVector<T>	NormalizeLocal() set the norm of this vector to 1
abstract MLVector<T>	zero() return zero of the input space

Methods inherited from class java.lang.Object

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

Field Detail

values

public T values

length

public int length

eps

protected double eps

Constructor Detail

MLVector

public MLVector()

Method Detail

add

public abstract MLVector<T> add(MLVector<T> lvector)

addition of vectors

Parameters:

lvector -

Returns:

a new MLVector that is the addition of this MLVector and lvector

mult

public abstract MLVector<T> mult(MLVector<T> lv)

multiplication membre à membre

Parameters:

lv -

Returns:

a new MLVector that is a member to member product of composants from this MLVector and lv

mult

public abstract MLVector<T> mult(double d)

multiplicaton par un scalaire.

dot

public abstract double dot(MLVector<T> lvector)

return dot product (scalar product)

Parameters:

lvector -

Returns:

dot product between this MLVector and lvector

distL2

public abstract double distL2(MLVector<T> lv)

L2 distance between the vectors.

Parameters:

lv -

Returns:

L2 distance between this MLVector and lv

distChi2

public abstract double distChi2(MLVector<T> lv)

Chi² distance between vectors.

Parameters:

lv -

Returns:

Chi² distance between this MLVector and lv

distChi1

public abstract double distChi1(MLVector<T> lv)

chi² distance with abs() instead of pow()

Parameters:

lv -

Returns:

Chi^1 distance between this MLVector and lv

zero

public abstract MLVector<T> zero()

return zero of the input space

Returns:

return zero representation in input space

Normalize

public abstract MLVector<T> Normalize()

return a Vector colinear to this with norm 1

NormalizeLocal

public abstract MLVector<T> NormalizeLocal()

set the norm of this vector to 1