Visualization of Similarity Measures for Binary Data and 2 x 2 Tables



Título del documento: Visualization of Similarity Measures for Binary Data and 2 x 2 Tables
Revista: Computación y sistemas
Base de datos: PERIÓDICA
Número de sistema: 000411054
ISSN: 1405-5546
Autors: 1
1
2
1
Institucions: 1Instituto Politécnico Nacional, Centro de Investigación en Computación, Ciudad de México. México
2Kazan Federal University, Kazan. Rusia
Any:
Període: Jul-Sep
Volum: 20
Número: 3
Paginació: 345-353
País: México
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Experimental, aplicado
Resumen en inglés We propose methods of 3D visualization of the main similarity measures for binary data and 2 x 2 tables. We present the shapes of Jaccard, Dice, Sokal & Sneath, Roger & Tanimoto and other similarity measures. Such visualization of the similarity measures gives the direct, visual, method of comparison of these measures and helps to understand the similarity and the difference between them. Based on the visualization of the two known parametric families of similarity measures the paper proposes the new parametric family of measures generalizing these two families and giving the possibility to construct similarity measures occupying the intermediate position between them
Disciplines Ciencias de la computación,
Literatura y lingüística
Paraules clau: Procesamiento de datos,
Lingüística aplicada,
Lingüística computacional,
Medidas de similaridad,
Variables binarias,
Tablas de contingencia,
Visualización
Keyword: Computer science,
Literature and linguistics,
Data processing,
Applied linguistics,
Computing linguistics,
Similarity measures,
Binary variables,
Contingency tables,
Visualization
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