J. Zhang and L. Zhang, "Learning fuzzy concept prototypes using genetic algorithms", in Fuzzy Systems Conference Proceedings, 1999. Home/Search Document Not in Database Summary Related Articles Check |
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Fuzzy Clustering Method for Content-based Indexing - Leung, King, Yue (2001) (Correct)
....in FCC the measurement is the fuzzy membership value, which is a relative distance. It is more flexible and robust when compare with using absolute distance as a measurement. The algorithm of FCC is outlined as follows. Step 0) Initialization: Every cluster in FCC is describe by fuzzy prototype [12,13]. In the initialization, we randomly pick k points as the initial cluster prototype centers and every prototype have the same variance in each dimension as the initial variance of the cluster prototypes. 2 (Step 1) Competition: Calculate the fuzzy membership value for each data instance to each ....
J. Zhang and L. Zhang, "Learning fuzzy concept prototypes using genetic algorithms," in Fuzzy Systems ConferenceProceedings,
Fuzzy Clustering for Content-based Indexing in Multimedia Database - Yue (2001) (Correct)
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J. Zhang and L. Zhang, "Learning fuzzy concept prototypes using genetic algorithms", in Fuzzy Systems Conference Proceedings, 1999.
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