A new method for the initialization of clustering algorithms based on histogram analysis

[1]  Doheon Lee,et al.  Evaluation of the performance of clustering algorithms in kernel-induced feature space , 2005, Pattern Recognit..

[2]  J. C. Dunn,et al.  A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters , 1973 .

[3]  Luigi Cinque,et al.  A clustering fuzzy approach for image segmentation , 2004, Pattern Recognit..

[4]  Wei Zhang,et al.  A genetic clustering method for intrusion detection , 2004, Pattern Recognit..

[5]  M. P. Windham Cluster validity for fuzzy clustering algorithms , 1981 .

[6]  Amparo Alonso-Betanzos,et al.  Analysis and evaluation of hard and fuzzy clustering segmentation techniques in burned patient images , 2000, Image Vis. Comput..

[7]  E. Hoffman,et al.  Lung image database consortium: developing a resource for the medical imaging research community. , 2004, Radiology.

[8]  J. MacQueen Some methods for classification and analysis of multivariate observations , 1967 .

[9]  James C. Bezdek,et al.  Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.

[10]  Lale Akarun,et al.  A fuzzy algorithm for color quantization of images , 2002, Pattern Recognit..

[11]  Mauro Barni,et al.  A new possibilistic clustering algorithm for line detection in real world imagery , 1999, Pattern Recognit..

[12]  Shengrui Wang,et al.  FCM-Based Model Selection Algorithms for Determining the Number of Clusters , 2004, Pattern Recognit..