In this paper, a new form of clustering method is presented where a priori knowledge of the reliability of different samples is used. This knowledge can be inserted into the cluster-finding based computation of the estimator output in the form of sample weights. This kind of method is needed in time-delay based angle of arrival estimation with nonuniform linear sensor arrays.