Class NearestNeighborEerClassifier

This IDistanceClassifier implementation will consider both test and training samples and claculate the threshold to separate the original and forged signatures to approximate EER. Note that this classifier is not applicable for real world scenarios. It was developed to test the theoratical boundaries of threshold based classification

Inheritance
System.Object
PipelineBase
NearestNeighborEerClassifier
Inherited Members
Namespace: SigStat.Common.PipelineItems.Classifiers
Assembly: SigStat.Common.dll
Syntax
public class NearestNeighborEerClassifier : PipelineBase, ILoggerObject, IProgress, IPipelineIO

Constructors

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NearestNeighborEerClassifier(Nullable<Int32>, IDistance<Double[][]>)

Initializes a new instance of the OptimalDtwClassifier class.

Declaration
public NearestNeighborEerClassifier(int? nearestNeighborCount, IDistance<double[][]> distanceFunction = null)
Parameters
Type Name Description
System.Nullable<System.Int32> nearestNeighborCount

The number of nearest neighbours to consider during classification
IDistance<System.Double[][]> distanceFunction

The distance function.

Properties

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DistanceFunction

The function used to calculate the distance between two data sequences

Declaration
public IDistance<double[][]> DistanceFunction { get; set; }
Property Value
Type Description
IDistance<System.Double[][]>
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Features

FeatureDescriptors to consider during classification

Declaration
public List<FeatureDescriptor> Features { get; set; }
Property Value
Type Description
List<FeatureDescriptor>
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NearestNeighborCount

The number of nearest neighbors to consider during evaluation. Set it to null to use all training signatures.

Declaration
public int? NearestNeighborCount { get; set; }
Property Value
Type Description
System.Nullable<System.Int32>
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Sampler

Sampler used for selecting training and test sets during a benchmark

Declaration
public Sampler Sampler { get; set; }
Property Value
Type Description
Sampler

Methods

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Test(ISignerModel, Signature)

Declaration
public double Test(ISignerModel signerModel, Signature signature)
Parameters
Type Name Description
ISignerModel signerModel
Signature signature
Returns
Type Description
System.Double
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Train(List<Signature>)

Declaration
public ISignerModel Train(List<Signature> signatures)
Parameters
Type Name Description
List<Signature> signatures
Returns
Type Description
ISignerModel
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Train(List<Signature>, DistanceMatrix<String, String, Double>)

Trains the specified signatures based on a precalculated distance matrix

Declaration
public ISignerModel Train(List<Signature> signatures, DistanceMatrix<string, string, double> distanceMatrix)
Parameters
Type Name Description
List<Signature> signatures

The signatures.
DistanceMatrix<System.String, System.String, System.Double> distanceMatrix

The distance matrix may contain all the distance pairs for the signatures. If you ommit this parameter, distances will be calculated automatically using DistanceFunction.
Returns
Type Description
ISignerModel

Implements

See Also