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Paired indices for clustering evaluation correction for agreement by chance

dc.contributor.authorAmorim, Maria José de Pina da Cruz
dc.contributor.authorCardoso, Margarida G. M. S.
dc.date.accessioned2015-08-25T14:38:21Z
dc.date.available2015-08-25T14:38:21Z
dc.date.issued2014
dc.description.abstractIn the present paper we focus on the performance of clustering algorithms using indices of paired agreement to measure the accordance between clusters and an a priori known structure. We specifically propose a method to correct all indices considered for agreement by chance - the adjusted indices are meant to provide a realistic measure of clustering performance. The proposed method enables the correction of virtually any index - overcoming previous limitations known in the literature - and provides very precise results. We use simulated datasets under diverse scenarios and discuss the pertinence of our proposal which is particularly relevant when poorly separated clusters are considered. Finally we compare the performance of EM and KMeans algorithms, within each of the simulated scenarios and generally conclude that EM generally yields best results.por
dc.identifier.citationAMORIM, Maria José de Pina da Cruz; CARDOSO, Margarida G. M. S. – Paired indices for clustering evaluation correction for agreement by chance. In ICEIS 2014 - Proceedings of the 16th International Conference on Enterprise Information Systems. SciTePress, 2014. Vol. 1, pp. 164-170por
dc.identifier.isbn978-989758027-7
dc.identifier.urihttp://hdl.handle.net/10400.21/5013
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherSciTePresspor
dc.subjectAdjusted Indicespor
dc.subjectClustering Evaluationpor
dc.subjectIndices of Paired Agreementpor
dc.titlePaired indices for clustering evaluation correction for agreement by chancepor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage170por
oaire.citation.startPage164por
oaire.citation.titleICEIS 2014 - Proceedings of the 16th International Conference on Enterprise Information Systemspor
oaire.citation.volume1por
rcaap.rightsclosedAccesspor
rcaap.typeconferenceObjectpor

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