A Recognition Approach of Radar Blips Based on Improved Fuzzy C Means
Author:
Publisher
Modestum Publishing Ltd
Subject
Applied Mathematics,Education
Link
https://www.ejmste.com/download/a-recognition-approach-of-radar-blips-based-on-improved-fuzzy-c-means-5006.pdf
Reference28 articles.
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2. Bezdek, J. C., Ehrlich, R., & Full, W. (1984). FCM: The fuzzy c-means clustering algorithm Original Research Article. Computers & Geosciences, 10(2-3), 191-203. doi:10.1016/0098-3004(84)90020-7.
3. Bezdek, J. C. (1981). Pattern Recognition with Fuzzy Objective Function Algorithms. US: Springer.
4. Chan, K. Y., & Haschke, R. H. (1983). Epithelial-stromal interactions: specific stimulation of corneal epithelial cell growth in vitro by a factor(s) from cultured stromal fibroblasts. Experimental Eye Research, 36(2), 231-246. doi:10.1016/0014-4835(83)90008-8.
5. De Feo, M., Graziano, A., Miglioli, R., & Farina, A. (1997). IMMJPDA versus MHT and Kalman filter with NN correlation: performance comparison. IEE Proceedings-Radar, Sonar and Navigation, 144(2), 49-56. doi:10.1049/ip-rsn:19970976.
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