In today’s industrial applications, we see that knowledge systems are successfully implemented. However, critical domains require the elaborate and thoughtful validation of the ...
Abstract. Median clustering extends popular neural data analysis methods such as the self-organizing map or neural gas to general data structures given by a dissimilarity matrix on...
Barbara Hammer, Alexander Hasenfuss, Fabrice Rossi
Background: Conservation and variation scores are used when evaluating sites in a multiple sequence alignment, in order to identify residues critical for structure or function. A ...
In this paper, we apply a multiple regression method based on Canonical Correlation Analysis (CCA) to face data modelling. CCA is a factor analysis method which exploits the corre...
Michael Reiter, Rene Donner, Georg Langs, Horst Bi...
—This paper describes a Java-based graphical user interface to a large number of data analysis programs the first author has written in C over the years. In addition, this toolb...