Uses of Interface
de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions.WeightFunction

Packages that use WeightFunction

Package	Description
de.lmu.ifi.dbs.elki.math.linearalgebra.pca	Principal Component Analysis (PCA) and Eigenvector processing.
de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions	Weight functions used in weighted PCA via WeightedCovarianceMatrixBuilder

Uses of WeightFunction in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

Fields in de.lmu.ifi.dbs.elki.math.linearalgebra.pca declared as WeightFunction

Modifier and Type	Field and Description
protected WeightFunction	WeightedCovarianceMatrixBuilder.weightfunction Holds the weight function.
protected WeightFunction	WeightedCovarianceMatrixBuilder.Parameterizer.weightfunction

Constructors in de.lmu.ifi.dbs.elki.math.linearalgebra.pca with parameters of type WeightFunction

Constructor and Description
WeightedCovarianceMatrixBuilder(WeightFunction weightfunction) Constructor.

Uses of WeightFunction in de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions

Classes in de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions that implement WeightFunction

Modifier and Type	Class and Description
class	ConstantWeight Constant Weight function The result is always 1.0
class	ErfcStddevWeight Gaussian Error Function Weight function, scaled using stddev.
class	ErfcWeight Gaussian Error Function Weight function, scaled such that the result it 0.1 at distance == max erfc(1.1630871536766736 * distance / max) The value of 1.1630871536766736 is erfcinv(0.1), to achieve the intended scaling.
class	ExponentialStddevWeight Exponential Weight function, scaled such that the result it 0.1 at distance == max stddev * exp(-.5 * distance/stddev) This is similar to the Gaussian weight function, except distance/stddev is not squared.
class	ExponentialWeight Exponential Weight function, scaled such that the result it 0.1 at distance == max exp(-2.3025850929940455 * distance/max) This is similar to the Gaussian weight function, except distance/max is not squared
class	GaussStddevWeight Gaussian Weight function, scaled such using standard deviation factor * exp(-.5 * (distance/stddev)^2) with factor being 1 / sqrt(2 * PI)
class	GaussWeight Gaussian Weight function, scaled such that the result it 0.1 at distance == max exp(-2.3025850929940455 * (distance/max)^2)
class	InverseLinearWeight Inverse Linear Weight Function.
class	InverseProportionalStddevWeight Inverse proportional weight function, scaled using the standard deviation. 1 / (1 + distance/stddev)
class	InverseProportionalWeight Inverse proportional weight function, scaled using the maximum. 1 / (1 + distance/max)
class	LinearWeight Linear weight function, scaled using the maximum such that it goes from 1.0 to 0.1 1 - 0.9 * (distance/max)
class	QuadraticStddevWeight Quadratic weight function, scaled using the standard deviation.
class	QuadraticWeight Quadratic weight function, scaled using the maximum to reach 0.1 at that point. 1.0 - 0.9 * (distance/max)^2