Chromosome Segmentation Using K-Means Clustering
Journal Title: International Journal of Scientific Research and Management - Year 2013, Vol 1, Issue 1
Abstract
Multiplex or multicolor fluorescence in situ hybridization (M -FISH) is a recently developed cytogenetic labeling technique which can be used to find out the chromosomal abnormalities for cancer and genet ic disorders. To detect the chromosomal abnormalities, an improved adaptive fuzzy c means clustering algorithm (IAFCM) was developed and applied to the segmentation and classification of M -Fish images. IAFCM method gives considerable classification accuracy among the existing methods such as FCM and AFCM. In this paper another algorithm k- means clustering is introduced, which runs faster than the IAFCM algorithm. Also a filter can be incorporated with this k - means clustering for denoising. Fuzzy C - Means Clustering is a soft version of K -means, where each data point has a fuzzy degree of belonging to each cluster
Authors and Affiliations
D. S Soumya.
Keywords
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