Sciweavers

CSB
2004
IEEE
136views Bioinformatics» more  CSB 2004»
13 years 8 months ago
Minimum Entropy Clustering and Applications to Gene Expression Analysis
Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...
Haifeng Li, Keshu Zhang, Tao Jiang
ICIP
1997
IEEE
14 years 6 months ago
Minimum-Entropy Clustering and its Application to Lossless Image Coding
The Minimum-Entropy Clustering (MEC) algorithm proposed in this paper provides an optimal method for addressing the non-stationarity of a source with respect to entropy coding. Th...
Farshid Golchin, Kuldip K. Paliwal