Fuzzy C-Means Clustering Problem Based on Improved DNA Genetic Algorithm and Point Density Weighting
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-15127-0_41
Reference14 articles.
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3. Liu, L., Sun, S.Z., Yu, H., et al.: A modified Fuzzy C-Means (FCM) clustering algorithm and its application on carbonate fluid identification. J. Appl. Geophys. 129, 28–35 (2016)
4. Nayak, J., Naik, B., Kanungo, D.P., et al.: A hybrid elicit teaching learning based optimization with fuzzy c-means (ETLBO-FCM) algorithm for data clustering. Ain Shams Eng. J. 9, 379–393 (2016)
5. Misra, S., Das, T.K., Choudhury, S.P., et al.: Choosing optimal value for fuzzy membership in FCM algorithm for LP-residual input features. Procedia Comput. Sci. 54, 542–548 (2015)
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