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TENCON '97 Brisbane - Australia. Proceedings of IEEE TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications (Cat. No.97CH36162)
The VQ-style clustering algorithm proposed in this paper provides an optimal method for addressing the non-stationarity of a source with respect to entropy coding. This algorithm which is named Minimum-Entropy Clustering (MEC), clusters a set of vectors (where each vector consists of a fixed number of contiguous samples from a discrete source) using a minimum entropy criterion. In a manner similar to Classified Vector Quantization (CVQ), a given vector is first classified into the class whichdoi:10.1109/tencon.1997.648524 fatcat:lmzfpj5ymjh3fg5arwfoxd7ygi