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In order to overcome problems of DENCLUE and improve it for medical image segmentation, we propose HD-DENCLUE algorithm. It takes the optimization step length to find density attractor, designs a hill-down strategy to give different density thresholds for different clusters and stops at hill-down data i.e. the edge data of this cluster. Experiments show that HD- DENCLUE can decrease time overhead, have better clustering effects than DENCLUE and get the edges of each cluster.

Hill-down strategy based DENsity CLUstEring and its application to medical image data