A methodology of fuzzy clustering with partial supervision

• Autorzy: Viattchenin D. A.
• Języki publikacji: EN

Abstrakty

EN

This paper describes a technique of fuzzy clustering with partial supervision. Pedrycz's algorithm of fuzzy clustering and a fuzzy clustering method based on the concept of allotment among fuzzy clusters form the basis of the technique. Basic ideas of both methods are considered and a methodology of fuzzy clustering with partial supervision is proposed in the paper. The application of the methodology is illustrated on the example of Anderson's Iris data. Preliminary conclusions are formulated.

Słowa kluczowe

EN

fuzzy clustering; partial supervision; allotment concept; Pedrycz's algorithm

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Systems Science
• Rocznik: 2007
• Tom: Vol. 33, no 4
• Strony: 61--71
• Opis fizyczny: Bibliogr. 15 poz., rys.

Twórcy

autor

Viattchenin D. A.

• United Institute of Informatics Problems of the National Academy of Sciences of Belarus, Surganov St. 6, 220012 Minsk, Belarus,

Bibliografia

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• [12] Viattchenin D.A., Criteria of Quality of Allotment in Fuzzy Clustering, Proc. Third Int. Conf. Neural Networks and Artificial Intelligence, Belarusian State University of Informatics and Radioelectronics, Minsk, Belarus, 2003, pp. 91-94.
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• [15] Viattchenin D.A., On the Inspection of Classification Results in the Fuzzy Clustering Method Based on the Allotment Concept, Proc. Fourth Int. Conf. Neural Networks and Artificial Intelligence, Brest State Technical University, Brest, Belarus, 2006, pp. 210-216.