A Geometry-Based Accelerated Fusion Clustering Algorithm and its Application in Marine Engineering

Abstract:

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In order to solve the problem in k-means algorithm that inappropriate selection of initial clustering centers often causes clustering in local optimum and the time complexity is too high when handling large amounts of data, a fusion clustering algorithm based on geometry is proposed in this paper. The result of experiments shows this algorithm is better than the traditional k-means and the k-means++ algorithms, with higher quality and faster speed. And at last in this paper, we apply it in marine engineering.

Info:

Periodical:

Advanced Materials Research (Volumes 108-111)

Edited by:

Yanwen Wu

Pages:

106-111

DOI:

10.4028/www.scientific.net/AMR.108-111.106

Citation:

T. Z. Wang et al., "A Geometry-Based Accelerated Fusion Clustering Algorithm and its Application in Marine Engineering", Advanced Materials Research, Vols. 108-111, pp. 106-111, 2010

Online since:

May 2010

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Price:

$35.00

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