Abstract
In this paper, we compare several recent robust fuzzy clustering methods, and show their equivalence in terms of their connection to techniques in robust statistics. In particular, we establish a connection between fuzzy set theory (as used in robust fuzzy clustering methods) and robust statistics, and point out the similarities between robust clustering methods and statistical methods such as the M-estimator. We also give qualitative and quantitative equivalence of the robust fuzzy clustering techniques with M-estimator.
Original language | English (US) |
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Pages | 400-404 |
Number of pages | 5 |
State | Published - 1996 |
Event | Proceedings of the 1996 Biennial Conference of the North American Fuzzy Information Processing Society - NAFIPS - Berkeley, CA, USA Duration: Jun 19 1996 → Jun 22 1996 |
Other
Other | Proceedings of the 1996 Biennial Conference of the North American Fuzzy Information Processing Society - NAFIPS |
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City | Berkeley, CA, USA |
Period | 6/19/96 → 6/22/96 |
All Science Journal Classification (ASJC) codes
- General Engineering