A Proposal of New Classification Algorithm
Jerzy Korzeniewski · University of Lodz Repository (University of Łódź) · 2009
In the paper a new method of classifying points to a predetermined number of classes is presented. The method is based on the use of the sample/window mean shift technique to obtain a synthetic insight into the data set structure. The method's performance is tested on Euclidean space data sets generated by the Milligan's CLUSTGEN programme through comparison with the grouping obtained by the k-means method. The criterion applied are the Rousseeuw's silhouette indices are used as a criterion for comparison.