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Improved robust fuzzy clustering algorithm
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- Melek, William W. (author)
- University of Toronto
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- Emami, Reza (author)
- University of Toronto
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- Goldenberg, Andrew A. (author)
- University of Toronto
- (creator_code:org_t)
- Piscataway, NJ : IEEE Communications Society, 1999
- 1999
- English.
- In: 1999 IEEE International Fuzzy Systems Conference Proceedings, Seoul, South Korea, 22-25 August 1999. - Piscataway, NJ : IEEE Communications Society.
- Conference paper (peer-reviewed)
Abstract
Subject headings
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- Fuzzy c-means (FCM) and hard clustering algorithms are the most common tools for data partitioning. However, these clustering algorithms may fail completely in the presence of noise. In this paper, we introduce a robust noise rejection clustering algorithm based on a combination of techniques that treat the FCM weak points with a traditional noise rejection algorithm. Unlike the traditional FCM, the proposed algorithm is a powerful tool for partitioning the data in the presence of noise (outliers).
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Annan elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Other Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Keyword
- Onboard space systems
- Rymdtekniska system
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- kon (subject category)
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