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. [Copyright &y& Elsevier]