Interface IIBSimilarity

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.

Inherited Members
Namespace: OpenSearch.Client
Assembly: OpenSearch.Client.dll
Syntax
public interface IIBSimilarity : ISimilarity

Properties

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Distribution

The distribution

Declaration
[DataMember(Name = "distribution")]
IBDistribution? Distribution { get; set; }
Property Value
Type Description
IBDistribution?
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Lambda

The lambda

Declaration
[DataMember(Name = "lambda")]
IBLambda? Lambda { get; set; }
Property Value
Type Description
IBLambda?
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Normalization

The normalization

Declaration
[DataMember(Name = "normalization")]
Normalization? Normalization { get; set; }
Property Value
Type Description
Normalization?
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NormalizationH1C

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

Declaration
[DataMember(Name = "normalization.h1.c")]
double? NormalizationH1C { get; set; }
Property Value
Type Description
double?
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NormalizationH2C

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

Declaration
[DataMember(Name = "normalization.h2.c")]
double? NormalizationH2C { get; set; }
Property Value
Type Description
double?
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NormalizationH3C

Dirichlet Priors normalization

Declaration
[DataMember(Name = "normalization.h3.c")]
double? NormalizationH3C { get; set; }
Property Value
Type Description
double?
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NormalizationZZ

Pareto-Zipf Normalization

Declaration
[DataMember(Name = "normalization.z.z")]
double? NormalizationZZ { get; set; }
Property Value
Type Description
double?

Extension Methods