Abstract
One of the most severe diseases in the field of medical science is brain tumor. A proper diagnosis is required in the early phase of tumor growth. In the past various methods had applied on brain MR (Magnetic Resonance) imaging to figure out the proper abnormality region from overall volume of the brain. The literature helps to identify that various bi-clustering algorithms had cluster out the region based on some predefined threshold value which results in generation of cluster which was dependent on specific threshold value only. In this paper a new bi-clustering algorithm has been proposed to cluster out the maximum abnormality area from the brain MR image without any predefined threshold. The algorithm is based on the closely link associated pixel (CLAP) mechanism for tumor segmentation.
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