Abstract
Clustering, focused mainly on distance-based clustering, has been studied extensively for many years. To discover clusters with arbitrary shapes, density-based clustering methods have been developed. The Core-based and Energy-based Vibrating Method, presented in this issue, is a clustering method which improves the density-based clustering methods of data mining in some fields. Density-based clustering is firstly used to find the core object. Then, the core object is described by the conception of energy. Based on the energy analysis, the peculiar objects is vibrating by the interfering energy to weaken their dissimilarity. Therefore, Vibrating Method, as one of the cluster reducing strategy, can reduce the number of clustering and highlight the correlation among clusters.
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© 2005 Springer-Verlag Berlin Heidelberg
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Johnson, S., Hsu, D., Wu, G., Jin, S., Zhang, W. (2005). Clustering Approach on Core-based and Energy-based Vibrating. In: Zhang, W., Tong, W., Chen, Z., Glowinski, R. (eds) Current Trends in High Performance Computing and Its Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-27912-1_39
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DOI: https://doi.org/10.1007/3-540-27912-1_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25785-1
Online ISBN: 978-3-540-27912-9
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