Classification of continuous multi-way data via dissimilarity representation

For many pattern recognition applications, objects are represented by high-dimensional feature vectors, as the result of measurements that are taken from them. Such is the case of spectral data, which is commonly represented by sampling, as a set of individual observations, ignoring the continuous nature of the original data. However, for a...