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1 November 1992 New approach to parallel clustering and its application to image segmentation
Doron Hershfinkel, Its'hak Dinstein
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Proceedings Volume 1826, Intelligent Robots and Computer Vision XI: Biological, Neural Net, and 3D Methods; (1992) https://doi.org/10.1117/12.131631
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States
Abstract
The proposed parallel clustering technique performs several clustering processes (for the same data set) in parallel, using different sets of initial cluster centers. Each clustering process consists of a sequence of iterations. The clustering processes are iterated in parallel within each parallel step. By the end of each parallel step, the clustering parameters are evaluated according to prespecified criteria. 'Non-promising' cluster center sets are discarded, and new cluster center sets are formed using 'promising' cluster centers. The presented illustrated examples indicate a reduction of 7% to 30% in the number of iterations required for convergence.
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Doron Hershfinkel and Its'hak Dinstein "New approach to parallel clustering and its application to image segmentation", Proc. SPIE 1826, Intelligent Robots and Computer Vision XI: Biological, Neural Net, and 3D Methods, (1 November 1992); https://doi.org/10.1117/12.131631
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KEYWORDS
Image segmentation
Data centers
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