A Fuzzy Bayesian Classifier with Learned Mahalanobis Distance
- Author
- KAYAALP, Necla1 ; ARSLAN, Guvenc1
[1] Department of Mathematics, Izmir University of Economics, 35330, Izmir, Turkey - Source
International journal of intelligent systems. 2014, Vol 29, Num 8, pp 713-726, 14 p ; ref : 11 ref
- CODEN
- IJISED
- ISSN
- 0884-8173
- Scientific domain
- Computer science
- Publisher
- Wiley, Hoboken, NJ
- Publication country
- United States
- Document type
- Article
- Language
- English
- Keyword (fr)
- Analyse amas Analyse donnée Analyse multivariable Analyse statistique Centre gravité Classification Ensemble flou Estimation Bayes Expert Fonction appartenance Logique floue Métrique Partitionnement Précision élevée Base donnée très grande Distance de Mahalanobis
- Keyword (en)
- Cluster analysis Data analysis Multivariate analysis Statistical analysis Center of mass Classification Fuzzy set Bayes estimation Expert Membership function Fuzzy logic Metric Partitioning High precision Very large databases Mahalanobis distance
- Keyword (es)
- Analisis cluster Análisis datos Análisis multivariable Análisis estadístico Centro gravitacional Clasificación Conjunto difuso Estimación Bayes Experto Función pertenencia Lógica difusa Métrico Subdivisión Precisión elevada Base de datos a gran escala Distancia de Mahalanobis
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07B Data processing. List processing. Character string processing
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 28609674
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1002/int.21659 
https://dx.doi.org/10.1002/int.21659
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