Show simple item record

Authordc.contributor.authorSaltos, Ramiro 
Authordc.contributor.authorWeber, Richard 
Authordc.contributor.authorMaldonado, Sebastián 
Admission datedc.date.accessioned2019-05-29T13:39:12Z
Available datedc.date.available2019-05-29T13:39:12Z
Publication datedc.date.issued2017
Cita de ítemdc.identifier.citationIEEE Transactions on Fuzzy Systems, Volumen 25, Issue 6, 2017, Pages 1508-1521
Identifierdc.identifier.issn10636706
Identifierdc.identifier.other10.1109/TFUZZ.2017.2741442
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/169040
Abstractdc.description.abstractClustering is one of the main data mining tasks with many proven techniques and successful real-world applications. However, in changing environments, the existing systems need to be regularly updated in order to describe in the best possible way an observed phenomenon at each point in time. Since changes lead to uncertainty, the respective systems also require an adequate modeling of the involved kinds of uncertainty. This paper presents a novelmethod for dynamic clustering called dynamic rough-fuzzy support vector clustering (D-RFSVC). Its main idea is to take advantage of the knowledge acquired in previous cycles to speed up model updating while tracking the structural changes that clusters can experience over time. The core method of the proposed approach is the well-known support vector clustering algorithm, which can be used for large datasets employing powerful optimization techniques. The computational experiments, together with a conceptual and numerical comparative study, highlight the potential D-RFSVC has in dynamic environments.
Lenguagedc.language.isoen
Publisherdc.publisherIEEE
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
Link to Licensedc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
Sourcedc.sourceIEEE Transactions on Fuzzy Systems
Keywordsdc.subjectDynamic data mining
Keywordsdc.subjectFuzzy systems
Keywordsdc.subjectSupport vector clustering (SVC)
Keywordsdc.subjectVisualization
Títulodc.titleDynamic Rough-Fuzzy Support Vector Clustering
Document typedc.typeArtículo de revista
Catalogueruchile.catalogadorlaj
Indexationuchile.indexArtículo de publicación SCOPUS
uchile.cosechauchile.cosechaSI


Files in this item

Icon

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivs 3.0 Chile
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile