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An overlapping cluster algorithm to provide non-exhaustive clustering

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  • Chen, Yen-Liang
  • Hu, Hui-Ling

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  • Chen, Yen-Liang & Hu, Hui-Ling, 2006. "An overlapping cluster algorithm to provide non-exhaustive clustering," European Journal of Operational Research, Elsevier, vol. 173(3), pages 762-780, September.
    • Handle: RePEc:eee:ejores:v:173:y:2006:i:3:p:762-780
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    References listed on IDEAS

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    1. Lauritzen, Steffen L., 1995. "The EM algorithm for graphical association models with missing data," Computational Statistics & Data Analysis, Elsevier, vol. 19(2), pages 191-201, February.
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    1. Julian Rossbroich & Jeffrey Durieux & Tom F. Wilderjans, 2022. "Model Selection Strategies for Determining the Optimal Number of Overlapping Clusters in Additive Overlapping Partitional Clustering," Journal of Classification, Springer;The Classification Society, vol. 39(2), pages 264-301, July.
    2. Liao, Pin-Chao & Zhang, Kenan & Wang, Tao & Wang, Yanqing, 2016. "Integrating bibliometrics and roadmapping: A case of strategic promotion for the ground source heat pump in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 292-301.
    3. Hassin, Refael & Or, Einat, 2010. "Min sum clustering with penalties," European Journal of Operational Research, Elsevier, vol. 206(3), pages 547-554, November.
    4. Xu, Xuelian & Liu, Xiaodong & Chen, Yan, 2009. "Applications of axiomatic fuzzy set clustering method on management strategic analysis," European Journal of Operational Research, Elsevier, vol. 198(1), pages 297-304, October.
    5. Meisel, Stephan & Mattfeld, Dirk, 2010. "Synergies of Operations Research and Data Mining," European Journal of Operational Research, Elsevier, vol. 206(1), pages 1-10, October.
    6. Sabyasachi Guharay & KC Chang & Jie Xu, 2017. "Robust Estimation of Value-at-Risk through Distribution-Free and Parametric Approaches Using the Joint Severity and Frequency Model: Applications in Financial, Actuarial, and Natural Calamities Domain," Risks, MDPI, vol. 5(3), pages 1-30, July.
    7. Jia-Yen Huang & Rong-Chang Chen, 2019. "Exploring the intellectual structure of cloud patents using non-exhaustive overlaps," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 739-769, November.

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