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

Packages that use WeightFunction
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
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
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
 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
 


Release 0.4.0 (2011-09-20_1324)