DocumentCode
3401469
Title
Clustering Analysis Based on the Mean Shift
Author
Guo, Qingchang ; Chang, Xiaojuan ; Chu, Hongxia
Author_Institution
Harbin Eng. Univ., Harbin
fYear
2007
fDate
5-8 Aug. 2007
Firstpage
309
Lastpage
313
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICMA.2007.4303560
Filename
4303560
Link To Document