A Mean Field Games Approach to Cluster Analysis

Author:

Aquilanti Laura,Cacace Simone,Camilli FabioORCID,De Maio RaulORCID

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Control and Optimization

Reference23 articles.

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2. Saxena, A., Prasad, M., Gupta, A., Bharill, N., Patel, O.P., Tiwari, A., Er, M.J., Ding, W., Lin, C.T.: A review of clustering techniques and developments. Neurocomputing 267, 664–681 (2017)

3. Bottou, L., Bengio, Y.: Convergence properties of the K-means algorithms. Adv. Neural Inf. Process. Syst. 82, 585–592 (1995)

4. Bilmes, J.A.: A gentle tutorial of the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov model, Technical Report ICSI-TR-97-021, University of Berkeley (2000)

5. Miyiamoto, S., Mukaidono, M.: Fuzzy C-Means as a regularization and maximum entropy approach. In: IFSA’97 Prague: Proceedings [of the] seventh International Fuzzy Systems Association World Congress, pp. 86–92

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