Kernel-induced space versus the dissimilarity space

…unrestricted comparison of objects given by raw data. When we apply the dissimilarity approach to Euclidean vector spaces, we operate in the traditional domain of kernels: finding non-linear approaches int…

…measures. More specifically, it can handle non-metric measures as well. Here, we will show common examples that such dissimilarities arise easily, both, in daily life as well as in science….

…these may be selected. This is a new way of using giving knowledge hardly exploited so far. Both problems, how to select a set of examples in a smart way…

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