| Literature DB >> 18244527 |
Abstract
In this paper, the fully automatic clustering system (FACS) is presented. It is a technique for clustering and vector quantization whose objective is the automatic calculation of the codebook of the right dimension, the desired error (or target) being fixed. At each iteration, FACS tries to improve the setting of the existing codewords and, if necessary, some elements are removed from or added to the codebook. In order to save on the number of computations per iteration, greedy techniques are adopted. It has been demonstrated, from a heuristic point of view, that the number of the codewords determined by FACS is very low and that the algorithm quickly converges toward the final solution.Entities:
Year: 2002 PMID: 18244527 DOI: 10.1109/TNN.2002.804226
Source DB: PubMed Journal: IEEE Trans Neural Netw ISSN: 1045-9227