Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.21/5013
Título: Paired indices for clustering evaluation correction for agreement by chance
Autor: Amorim, Maria José de Pina da Cruz
Cardoso, Margarida G. M. S.
Palavras-chave: Adjusted Indices
Clustering Evaluation
Indices of Paired Agreement
Data: 2014
Editora: SciTePress
Citação: AMORIM, 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. 164-170
Resumo: In 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.
Peer review: yes
URI: http://hdl.handle.net/10400.21/5013
ISBN: 978-989758027-7
Aparece nas colecções:ISEL - Matemática - Comunicações



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