1. A method comprising: (i) determining a plurality of data points; (ii) determining a distance between each data point and each of the other of the plurality of data points; (iii) choosing a first one of the plurality of data points; (iv) identifying all of the other plurality of data points within a maximum distance of the chosen data point; (v) repeating steps (iii)-(iv) choosing a different one of the plurality of data points until all of the data points have been chosen; (vi) identifying one or more clusters each having a predefined minimum number, K, of data points within a predefined search radius; and (vii) analyzing the one or more clusters with respect to K linkages.