1. Aggarwal, C.C., Reddy, C.K.: Data Clustering: Algorithms and Applications. CRC Press (2013)
2. Akodjènou-Jeannin, M.-I., Salamatian, K., Gallinari, P.: Flexible grid-based clustering. In: European Conference on Principles of Data Mining and Knowledge Discovery, pp. 350–357. Springer (2007)
3. Silverman, B.W.: Density Estimation for Statistics and Data Analysis. Monographs on Statistics and Applied Probability, p. 22 (1986).
https://ned.ipac.caltech.edu/level5/March02/Silverman/paper.pdf
4. Gan, W., Li, D.: Optimal choice of parameters for a density-based clustering algorithm. In: Proceedings of the 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2003, pp. 603–606. Springer, Heidelberg (2003).
http://dl.acm.org/citation.cfm?id=1783574.1783679
, ISBN 3-540-14040-9
5. He, J., Pan, W.: A DENCLUE based approach to neuro-fuzzy system modeling. In: 2010 2nd International Conference on Advanced Computer Control, vol. 4, pp. 42–46 (2010).
https://doi.org/10.1109/ICACC.2010.5487269