Abstract
A new hybrid clustering method based on a fuzzy myriad is presented. The proposed method could be considered as generalization of well known fuzzy c—means method (FCM) proposed by Bezdek. Existing modification of the FCM method, such as conditional clustering or partial supervised clustering can be applied to determine the objective function of the proposed method.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bezdek J.C. (1981) Pattern Recognition With Fuzzy Objective Function Algorithms, Plenum Press, New York
Pedrycz W. (2005) Knowledge-Based Clustering, Wiley-Interscience
Zadeh L.A. (1965) Fuzzy Sets, Information and Control 8:338–353
Arce G.R., Kalluri S. (2000) Fast Algorithm For Weighted Myriad Computation by Fixed Point Search, IEEE Trans. on Signal Proc. 48:159–171
Arce G.R., Kalluri S. (2001) Robust Frequency-Selective Filtering Using Weighted Myriad Filters admitting Real-Valued Weights, IEEE Trans, on Signal Proc. 49:2721–2733
Georgiu P.G., Tsakalides P., Kyriakakis C. (1999) Alpha-Stable Modeling of Noise and Robust Time-Delay Estimation in the Presence of Impulsive Noise, IEEE Trans, on Multimedia 1:291–301
Gonzales J.G., Arce G.R. (2001) Optimality of the Myriad Filter in Practical Impulsive-Noise Environments. IEEE Trans. on Signal Proc. 49:438–441
Fisher R.A. Iris Data Set, http://www.ics.uci.edu/~mlearn/MLRepository.html
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Przybyła, T. (2007). Hybrid Fuzzy Clustering Method. In: Kurzynski, M., Puchala, E., Wozniak, M., Zolnierek, A. (eds) Computer Recognition Systems 2. Advances in Soft Computing, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75175-5_8
Download citation
DOI: https://doi.org/10.1007/978-3-540-75175-5_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-75174-8
Online ISBN: 978-3-540-75175-5
eBook Packages: EngineeringEngineering (R0)