Abstract: Methods of reducing the adherence of soft contact lenses to hydrophobic packing materials.

Abstract: This is a system for organizing n-dimensional data onto a lower dimensionality space in a non-linear and non-supervised manner. The types of methods presented here are usually known as self-organizing maps and are similar but not identical to the well known Kohonen self-organizing maps. The basic idea is a combination of data clustering and smooth projection thereof into a lower dimensional space (usually a two-dimensional grid). The proposed system consists of two modified versions of the functional of the well-known Fuzzy c-means clustering algorithm, where the cluster centers or code vectors are distributed on a low dimensional regular grid, for which a penalization term is added with the object of assuring a smooth distribution of the values of the code vectors on said grid.