Abstract
The deterministic annealing (DA) method for vector quantization can obtain better representative vectors than the LBG, CL, FSCL and SOFM. But it has two problems. One is that quality of the results is sensitive to the reduction of parameter T which is a temperature in an annealing operation. Another is that learning time is relatively long. Recently, the equidistortion principle has been derived and it is shown effective for vector quantization. In this paper, to solve above problems, a new algoritym named DAEP (Deterministic Annealing method with Equidistortion Principle) is proposed. In the DAEP, the idea of equidistortion principle is introduced into the DA method. In the annealing operation, location of representative vectors are forced to move to the global optimum points using the equidistortion principle. Judging from quality of results and learning time, it is shown that the DAEP can obtain better results than the other methods.
