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,...
show that an abstract analysis of one of these three set theoretic principles can sometimes lead us to results that do not require additional axioms at all but which could have bee...
In this paper we develop a theory for characterizing how deformable a shape is. We define a term called “deformability index” for shapes. The deformability index is computed ...
o address the need for canonical abstraction, we've adopted software engineering's concept of signatures--a technique for defining software patterns or invariant procedur...
The problem of completing a low-rank matrix from a subset of its entries is often encountered in the analysis of incomplete data sets exhibiting an underlying factor model with app...