论文信息 - Threshold selection based on cluster analysis

Threshold selection based on cluster analysis

Threshold selection problem is similar to the clustering problem which can be formulated as one to find the number of clusters and a partition matrix from a given data set using the iterative or non-iterative algorithms. In this paper, a new threshold selection method based on the cluster analysis is proposed. Experimental results are provided to show the effectiveness of the proposed threshold selection method.

Soon H. Kwon | Soon-H. Kwon

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