Cluster Analysis Using Improved Fuzzy c-Means Clustering for Object Localization: Vision Based Ill Cattle Localization System
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[1] Pedro Larrañaga,et al. An empirical comparison of four initialization methods for the K-Means algorithm , 1999, Pattern Recognit. Lett..
[2] Paul S. Bradley,et al. Clustering via Concave Minimization , 1996, NIPS.
[3] J. A. Hartigan,et al. A k-means clustering algorithm , 1979 .
[4] Delbert Dueck,et al. Clustering by Passing Messages Between Data Points , 2007, Science.
[5] James C. Bezdek,et al. Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.
[6] Herbert Freeman,et al. On the Encoding of Arbitrary Geometric Configurations , 1961, IRE Trans. Electron. Comput..
[7] J. C. Dunn,et al. A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters , 1973 .
[8] Sungho Kim,et al. Robust scale invariant target detection using the scale-space theory and optimization for IRST , 2010, Pattern Analysis and Applications.
[9] D.M. Mount,et al. An Efficient k-Means Clustering Algorithm: Analysis and Implementation , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[10] Claire Cardie,et al. Constrained K-means Clustering with Background Knowledge , 2001, ICML.