Building a Measure to Integrate into a Hybrid Data Mining Method to Analyze the Risk of Customer

Author:

Doan Huan,Nguyen Dinh Thuan,Ho Bao Quoc

Publisher

Springer International Publishing

Reference11 articles.

1. Doan, H., Nguyen, D.T.: An adaptive method to determine the number of clusters in clustering process. In: Proceedings of The International Conference on Computer and Information Sciences, ICCOINS 2014, June 3–5, 2014, IEEE, Malaysia, pp. 1–6, ISBN 978-1-4799-4391-3 (2014)

2. Nguyen, D.T., Doan, H.: An approach to determine the number of clusters for clustering algorithms. ICCCI 2012, Part I, LNAI 7653. Springer, Heidelberg, pp. 485–494 (2012)

3. Bezdek, J.C., Ehrlich, R., Full, W.: FCM: The fuzzy c-means clustering algorithm. Comput. Geosci. 10(2–3), 191–203 (1984)

4. Hathaway, R.J., Bezdek, J.C.: Recent convergence results for the fuzzy c-means clustering algorithms. J. Classif. 5, 237–247 (1988)

5. http://www.rulequest.com/see5-info.html . Accessed May 2014

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