Start from the actual needs of engineering

each data point is represented with a preference set of hypotheses models preferred by that point in this paper.Subsequently

based on random sample consensus principle

a improved agglomerative clustering should be adopted to collect those points which fall into a same model.The method does not require prior specification of the number of models

nor it necessitate parameters tuning.Experimental results demonstrate the obvious effect and greater accuracy of the algorithm.