An efficient sequential clustering method

摘要

A new method for the sequential clustering of data, that gives better results compared to the conventional sequential clustering method, is presented in this paper. This method utilizes certainty factors and it is independent of the technique used for data representation and/or distance computation. Examples are given for cases where the data are represented as feature vectors as well as strings of symbols (syntactic patterns).