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An enriched K-means clustering method for grouping fractures with meliorated initial centers

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Abstract

An enriched K-means clustering method for grouping fractures with meliorated initial cluster centers is proposed. Selection of the initial cluster centers is based on a gathering degree function and a hierarchical clustering method. A simplified Xie-Beni cluster validity index is applied to determine the optimal number of clusters automatically. The effectiveness of the proposed clustering method is demonstrated by using synthetic data and field data compiled from literatures. The gathering degree concept used in the density-based method is helpful in seeking suitable initial cluster centers. It alleviates the influence from the selected arbitrary threshold to get a more stable clustering result. The procedure to automatically remove fractures belonging to the obtained cluster center with the hierarchical clustering method is more natural than using the pre-defined radius. Additional advantage of the algorithm is that its convergence is fast, and it can be easily implemented for geological mapping result analysis.

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Acknowledgments

The authors gratefully acknowledge the support from the National Basic Research Program of China (973 Program, Grant No. 2013CB036000), the Fundamental Research Funds of Shandong University (Grant No. 2014GN028) and the State Key Laboratory for GeoMechanics and Deep Underground Engineering, China University of Mining & Technology (Grant No. SKLGDUEK1309).

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Correspondence to Z. H. Xu.

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Ma, G.W., Xu, Z.H., Zhang, W. et al. An enriched K-means clustering method for grouping fractures with meliorated initial centers. Arab J Geosci 8, 1881–1893 (2015). https://doi.org/10.1007/s12517-014-1379-x

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  • DOI: https://doi.org/10.1007/s12517-014-1379-x

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