Abstract: 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.