1. A method for classifying objects, comprising the steps of: measuring a parameter of each of a plurality of objects; dividing a range of parameter values into partitions; assigning measured parameter values to the partitions; determining a density estimate for each partition based upon a relative frequency with which the measured parameter values are assigned to the partitions; based on the density estimates, redividing the range of parameter values into new partitions, each new partition having a plurality of new density estimates, such that a difference between two of the new density estimates of a new partition does not exceed a predetermined value; and classifying each object in accordance with the new partition in which the measured parameter of the object falls.