Abstract. This paper proposes the fitness control procedure for the application of genetic algorithms (GA) in pattern recognition. Instead of using GA to solve a concomitant optim...
Clustering has been one of the most widely studied topics in data mining and k-means clustering has been one of the popular clustering algorithms. K-means requires several passes ...
This report contains derivations which did not fit into the paper [3]. Associative clustering (AC) is a method for separately clustering two data sets when one-to-one association...
This paper proposes a Riemannian geometric framework to compute averages and distributions of point configurations so that different configurations up to affine transformations ar...
Background: Detection of sequence homologues represents a challenging task that is important for the discovery of protein families and the reliable application of automatic annota...
Igor V. Tetko, Axel Facius, Andreas Ruepp, Hans-We...