On the convergence and consistency of the blurring mean-shift process

Author:

Chen Ting-Li

Publisher

Springer Science and Business Media LLC

Subject

Statistics and Probability

Reference19 articles.

1. Carreira-Perpinan, M.A. (2006). Fast nonparametric clustering with gaussian blurring mean-shift. In: Proceedings of the 23rd international conference machine learning (ICML 2006) (pp. 153–160).

2. Carreira-Perpinan, M.A. (2007). Gaussian mean-shift is an em algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(5), 767–776.

3. Chang-Chien, S.J., Hung, W.L., Yang, M.S. (2012). On mean shift-based clustering for circular data. Soft Computing, 16(6), 1043–1060.

4. Chen, T.L., Shiu, S.Y. (2007). A clustering algorithm by self-updating process. In: JSM proceedings, statistical computing section, Salt Lake City, Utah (pp. 2034–2038).

5. Chen, T.L., Hsieh, D.N., Hung, H., Tu, I.P., Wu, P.S., Wu, Y.M., Chang, W.H., Huang, S.Y. (2013). $$\gamma $$ γ -SUP: a clustering algorithm for cryo-electron microscopy images of asymmetric particles. Annals of Applied Statistcs (to appear).

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