Kernel self-organizing map has been recently studied by Fyfe and his colleagues [1], This paper investigates the use of a novel bio-kernel function for the kernel self-organizing map. For verification, the application of the proposed new kernel self-organizing map to HIV drug resistance classification using mutation patterns in protease sequences is presented. The original self-organizing map together with the distributed encoding method was compared. It has been found that the use of the kernel self-organizing map with the novel bio-kernel function leads to better classification and faster convergence rate... © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Yang, Z. R., & Young, N. (2005). Bio-kernel self-organizing Map for HIV drug resistance classification. In Lecture Notes in Computer Science (Vol. 3610, pp. 179–186). Springer Verlag. https://doi.org/10.1007/11539087_20
Mendeley helps you to discover research relevant for your work.