Title :
The centroid of the symmetrical Kullback-Leibler distance
Author :
Veldhuis, Raymond
Author_Institution :
Twente Univ., Enschede, Netherlands
fDate :
3/1/2002 12:00:00 AM
Abstract :
This paper discusses the computation of the centroid induced by the symmetrical Kullback-Leibler distance. It is shown that it is the unique zeroing argument of a function which only depends on the arithmetic and the normalized geometric mean of the cluster. An efficient algorithm for its computation is presented. Speech spectra are used as an example.
Keywords :
entropy; sequences; spectral analysis; speech processing; arithmetic geometric mean; cluster; discrimination; divergence; normalized geometric mean; relative entropy; sequences; speech spectra; symmetrical Kullback-Leibler distance centroid; zeroing argument; Arithmetic; Clustering algorithms; Counting circuits; Entropy; Information theory; Probability distribution; Shape; Speech synthesis; Vector quantization;
Journal_Title :
Signal Processing Letters, IEEE
