Title :
Clustering Analysis Based on the Mean Shift
Author :
Guo, Qingchang ; Chang, Xiaojuan ; Chu, Hongxia
Author_Institution :
Harbin Eng. Univ., Harbin
Abstract :
The mean-shift is a iterative algorithm. It has been widely used in the image processing and computer vision. But the convergence of the algorithm is not been strictly proved. The convergence of the algorithm is proved according to Cauchy Convergence Criterion. And a new rule is used in the clustering based on the mean shift. The validity of the algorithm is testified by the experiment.
Keywords :
computer vision; iterative methods; pattern clustering; statistical analysis; Cauchy convergence criterion; cluster analysis; computer vision; image processing; iterative algorithm; mean shift; Algorithm design and analysis; Automation; Clustering algorithms; Computer vision; Convergence; Educational institutions; Image analysis; Image processing; Iterative algorithms; Kernel; Clustering Analysis; Computer Vision; Image Processing; Mean Shift;
Conference_Titel :
Mechatronics and Automation, 2007. ICMA 2007. International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-0828-3
Electronic_ISBN :
978-1-4244-0828-3
DOI :
10.1109/ICMA.2007.4303560
