TY - GEN
T1 - New approach to parallel clustering and its application to image segmentation
AU - Hershfinkel, Doron
AU - Dinstein, Its'hak
PY - 1993/1/1
Y1 - 1993/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0027308033&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0027308033
SN - 0819410276
T3 - Proceedings of SPIE - The International Society for Optical Engineering
SP - 362
EP - 371
BT - Proceedings of SPIE - The International Society for Optical Engineering
PB - Publ by Int Soc for Optical Engineering
T2 - Intelligent Robots and Computer Vision XI: Biological, Neural Net, and 3-D Methods
Y2 - 18 November 1992 through 20 November 1992
ER -