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B

batchFinished() - Method in class weka.filters.unsupervised.attribute.LOF

Signifies that this batch of input to the filter is finished.

buildClassifier(Instances) - Method in class weka.classifiers.misc.LOF

D

distributionForInstance(Instance) - Method in class weka.classifiers.misc.LOF

G

getCapabilities() - Method in class weka.classifiers.misc.LOF

Returns the Capabilities of this filter.

getCapabilities() - Method in class weka.filters.unsupervised.attribute.LOF

Returns the Capabilities of this filter.

getMinPointsLowerBound() - Method in class weka.classifiers.misc.LOF

Get the lower bound (minPtsLB) to use on the range for k when determining the maximum LOF value

getMinPointsLowerBound() - Method in class weka.filters.unsupervised.attribute.LOF

Get the lower bound (minPtsLB) to use on the range for k when determining the maximum LOF value

getMinPointsUpperBound() - Method in class weka.classifiers.misc.LOF

Get the upper bound (minPtsUB) to use on the range for k when determining the maximum LOF value

getMinPointsUpperBound() - Method in class weka.filters.unsupervised.attribute.LOF

Get the upper bound (minPtsUB) to use on the range for k when determining the maximum LOF value

getNNSearch() - Method in class weka.classifiers.misc.LOF

Get the nearest neighbor search method to use

getNNSearch() - Method in class weka.filters.unsupervised.attribute.LOF

Get the nearest neighbor search method to use

getNumExecutionSlots() - Method in class weka.classifiers.misc.LOF

Get the degree of parallelism to use.

getNumExecutionSlots() - Method in class weka.filters.unsupervised.attribute.LOF

Get the degree of parallelism to use.

getOptions() - Method in class weka.classifiers.misc.LOF

Gets the current settings of the scheme.

getOptions() - Method in class weka.filters.unsupervised.attribute.LOF

Gets the current settings of the filter.

getRevision() - Method in class weka.classifiers.misc.LOF

Returns the revision string.

getRevision() - Method in class weka.filters.unsupervised.attribute.LOF

Returns the revision string.

getTechnicalInformation() - Method in class weka.classifiers.misc.LOF

Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.

getTechnicalInformation() - Method in class weka.filters.unsupervised.attribute.LOF

Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.

globalInfo() - Method in class weka.classifiers.misc.LOF

Returns a string describing this scheme

globalInfo() - Method in class weka.filters.unsupervised.attribute.LOF

Returns a string describing this filter

I

input(Instance) - Method in class weka.filters.unsupervised.attribute.LOF

Input an instance for filtering.

L

listOptions() - Method in class weka.classifiers.misc.LOF

Gets an enumeration describing the available options.

listOptions() - Method in class weka.filters.unsupervised.attribute.LOF

Gets an enumeration describing the available options.

LOF - Class in weka.classifiers.misc

A Classifier that applies the LOF (Local Outlier Factor) algorithm to compute an "outlier" score for each instance in the data.

LOF() - Constructor for class weka.classifiers.misc.LOF

LOF - Class in weka.filters.unsupervised.attribute

A filter that applies the LOF (Local Outlier Factor) algorithm to compute an "outlier" score for each instance in the data.

LOF() - Constructor for class weka.filters.unsupervised.attribute.LOF

M

main(String[]) - Static method in class weka.classifiers.misc.LOF

Main method for this class.

main(String[]) - Static method in class weka.filters.unsupervised.attribute.LOF

Main method for testing this class

minPointsLowerBoundTipText() - Method in class weka.classifiers.misc.LOF

Returns the tip text for this property

minPointsLowerBoundTipText() - Method in class weka.filters.unsupervised.attribute.LOF

Returns the tip text for this property

minPointsUpperBoundTipText() - Method in class weka.classifiers.misc.LOF

Returns the tip text for this property

minPointsUpperBoundTipText() - Method in class weka.filters.unsupervised.attribute.LOF

Returns the tip text for this property

N

NNSearchTipText() - Method in class weka.classifiers.misc.LOF

Returns the tip text for this property

NNSearchTipText() - Method in class weka.filters.unsupervised.attribute.LOF

Returns the tip text for this property

numExecutionSlotsTipText() - Method in class weka.classifiers.misc.LOF

Returns the tip text for this property

numExecutionSlotsTipText() - Method in class weka.filters.unsupervised.attribute.LOF

Returns the tip text for this property

S

setClassifierMode(boolean) - Method in class weka.filters.unsupervised.attribute.LOF

Set whether to work in classifier mode or not.

setEnvironment(Environment) - Method in class weka.filters.unsupervised.attribute.LOF

Set environment variables to use

setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.LOF

Sets the format of the input instances.

setMinPointsLowerBound(String) - Method in class weka.classifiers.misc.LOF

Set the lower bound (minPtsLB) to use on the range for k when determining the maximum LOF value

setMinPointsLowerBound(String) - Method in class weka.filters.unsupervised.attribute.LOF

Set the lower bound (minPtsLB) to use on the range for k when determining the maximum LOF value

setMinPointsUpperBound(String) - Method in class weka.classifiers.misc.LOF

Set the upper bound (minPtsUB) to use on the range for k when determining the maximum LOF value

setMinPointsUpperBound(String) - Method in class weka.filters.unsupervised.attribute.LOF

Set the upper bound (minPtsUB) to use on the range for k when determining the maximum LOF value

setNNSearch(NearestNeighbourSearch) - Method in class weka.classifiers.misc.LOF

Set the nearest neighbor search method to use

setNNSearch(NearestNeighbourSearch) - Method in class weka.filters.unsupervised.attribute.LOF

Set the nearest neighbor search method to use

setNumExecutionSlots(String) - Method in class weka.classifiers.misc.LOF

Set the degree of parallelism to use.

setNumExecutionSlots(String) - Method in class weka.filters.unsupervised.attribute.LOF

Set the degree of parallelism to use.

setOptions(String[]) - Method in class weka.classifiers.misc.LOF

Parses a given list of options.

setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.LOF

Parses a given list of options.

T

toString() - Method in class weka.classifiers.misc.LOF

W

weka.classifiers.misc - package weka.classifiers.misc

weka.filters.unsupervised.attribute - package weka.filters.unsupervised.attribute

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