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Cluster Ensemble and Multi-Objective Clustering Methods

Cluster Ensemble and Multi-Objective Clustering Methods

Katti Faceli, Andre C.P.L.F. de Carvalho, Marcilio C.P. de Souto
Copyright: © 2008 |Pages: 19
ISBN13: 9781599048079|ISBN10: 1599048078|ISBN13 Softcover: 9781616926922|EISBN13: 9781599048093
DOI: 10.4018/978-1-59904-807-9.ch015
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MLA

Faceli, Katti, et al. "Cluster Ensemble and Multi-Objective Clustering Methods." Pattern Recognition Technologies and Applications: Recent Advances, edited by Brijesh Verma and Michael Blumenstein, IGI Global, 2008, pp. 325-343. https://doi.org/10.4018/978-1-59904-807-9.ch015

APA

Faceli, K., de Carvalho, A. C., & de Souto, M. C. (2008). Cluster Ensemble and Multi-Objective Clustering Methods. In B. Verma & M. Blumenstein (Eds.), Pattern Recognition Technologies and Applications: Recent Advances (pp. 325-343). IGI Global. https://doi.org/10.4018/978-1-59904-807-9.ch015

Chicago

Faceli, Katti, Andre C.P.L.F. de Carvalho, and Marcilio C.P. de Souto. "Cluster Ensemble and Multi-Objective Clustering Methods." In Pattern Recognition Technologies and Applications: Recent Advances, edited by Brijesh Verma and Michael Blumenstein, 325-343. Hershey, PA: IGI Global, 2008. https://doi.org/10.4018/978-1-59904-807-9.ch015

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Abstract

Clustering is an important tool for data exploration. Several clustering algorithms exist, and new algorithms are frequently proposed in the literature. These algorithms have been very successful in a large number of real-world problems. However, there is no clustering algorithm, optimizing only a single criterion, able to reveal all types of structures (homogeneous or heterogeneous) present in a dataset. In order to deal with this problem, several multi-objective clustering and cluster ensemble methods have been proposed in the literature, including our multi-objective clustering ensemble algorithm. In this chapter, we present an overview of these methods, which, to a great extent, are based on the combination of various aspects of traditional clustering algorithms.

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