cc.mallet.types

Class BiNormalSeparation

java.lang.Object

cc.mallet.types.SparseVector

cc.mallet.types.FeatureVector

cc.mallet.types.RankedFeatureVector

cc.mallet.types.BiNormalSeparation

All Implemented Interfaces:

AlphabetCarrying, ConstantMatrix, Vector, java.io.Serializable

public class BiNormalSeparation
extends RankedFeatureVector

Bi-Normal Separation is a feature weighting algorithm introduced in: An Extensive Empirical Study of Feature Selection Metrics for Text Classification, George Forman, Journal of Machine Learning Research, 3:1289--1305, 2003. http://www.hpl.hp.com/techreports/2002/HPL-2002-88R2.html It was been shown to have excellent performance when used for feature selection and feature weighting on binary SVM classification tasks.

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	BiNormalSeparation.Factory Factory class.

Nested classes/interfaces inherited from class cc.mallet.types.RankedFeatureVector

RankedFeatureVector.PerLabelFactory

Constructor Summary

Constructors

Constructor and Description
BiNormalSeparation(InstanceList ilist) Create a new feature ranking for the given instance list.

Method Summary

Methods inherited from class cc.mallet.types.RankedFeatureVector

getIndexAtRank, getMaxValue, getMaxValuedIndex, getMaxValuedIndexIn, getMaxValuedObject, getMaxValuedObjectIn, getMaxValueIn, getObjectAtRank, getRank, getRank, getValueAtRank, printByRank, printByRank, printLowerK, printTopK, set

Methods inherited from class cc.mallet.types.FeatureVector

alphabetsMatch, cloneMatrix, cloneMatrixZeroed, contains, getAlphabet, getAlphabets, getObjectIndices, location, newFeatureVector, toSimpFile, toString, toString, value

Methods inherited from class cc.mallet.types.SparseVector

absNorm, addTo, addTo, arrayCopyFrom, arrayCopyFrom, arrayCopyInto, dotProduct, dotProduct, dotProduct, dotProduct, extendedDotProduct, extendedDotProduct, getDimensions, getIndices, getNumDimensions, getValues, incrementValue, indexAtLocation, infinityNorm, isBinary, isInfinite, isNaN, isNaNOrInfinite, location, makeBinary, makeNonBinary, map, numLocations, oneNorm, plusEqualsSparse, plusEqualsSparse, print, setAll, setValue, setValueAtLocation, singleIndex, singleSize, singleToIndices, singleValue, timesEquals, timesEqualsSparse, timesEqualsSparse, timesEqualsSparseZero, twoNorm, value, value, valueAtLocation, vectorAdd

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

BiNormalSeparation

public BiNormalSeparation(InstanceList ilist)

Create a new feature ranking for the given instance list.