Class IBSimilarityDescriptor

Information based model similarity. The algorithm is based on the concept that the information content in any symbolic distribution sequence is primarily determined by the repetitive usage of its basic elements. For written texts this challenge would correspond to comparing the writing styles of different authors.

Inheritance
object
DescriptorBase<IBSimilarityDescriptor, IIBSimilarity>
IBSimilarityDescriptor
Implements
Inherited Members
Namespace: OpenSearch.Client
Assembly: OpenSearch.Client.dll
Syntax
public class IBSimilarityDescriptor : DescriptorBase<IBSimilarityDescriptor, IIBSimilarity>, IDescriptor, IIBSimilarity, ISimilarity

Methods

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Distribution(IBDistribution?)

The distribution

Declaration
public IBSimilarityDescriptor Distribution(IBDistribution? distribution)
Parameters
Type Name Description
IBDistribution? distribution
Returns
Type Description
IBSimilarityDescriptor
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Lambda(IBLambda?)

The lambda

Declaration
public IBSimilarityDescriptor Lambda(IBLambda? lambda)
Parameters
Type Name Description
IBLambda? lambda
Returns
Type Description
IBSimilarityDescriptor
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NoNormalization()

The normalization

Declaration
public IBSimilarityDescriptor NoNormalization()
Returns
Type Description
IBSimilarityDescriptor
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NormalizationH1(double?)

Normalization model that assumes a uniform distribution of the term frequency.

Declaration
public IBSimilarityDescriptor NormalizationH1(double? c)
Parameters
Type Name Description
double? c

hyper-parameter that controls the term frequency normalization with respect to the document length.
Returns
Type Description
IBSimilarityDescriptor
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NormalizationH2(double?)

Normalization model in which the term frequency is inversely related to the length.

Declaration
public IBSimilarityDescriptor NormalizationH2(double? c)
Parameters
Type Name Description
double? c

hyper-parameter that controls the term frequency normalization with respect to the document length.
Returns
Type Description
IBSimilarityDescriptor
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NormalizationH3(double?)

Dirichlet Priors normalization

Declaration
public IBSimilarityDescriptor NormalizationH3(double? mu)
Parameters
Type Name Description
double? mu

smoothing parameter μ.
Returns
Type Description
IBSimilarityDescriptor
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NormalizationZ(double?)

Pareto-Zipf Normalization

Declaration
public IBSimilarityDescriptor NormalizationZ(double? z)
Parameters
Type Name Description
double? z

represents A/(A+1) where A measures the specificity of the language..
Returns
Type Description
IBSimilarityDescriptor

Implements

Extension Methods