Two methods for encoding clusters.
This paper presents two methods for generating numerical codes representing clusters of Rn, while preserving various topological properties of data spaces. This is useful for networks whose input, or eventually output, consists of unordered sets of points. The first method is the best one from a theoretical point of view, while the second one is more usable for large clusters in practice.
Courrieu
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Laboratoire de Psychologie Cognitive, UMR CNRS 6561, Université de Provence, France. crepco@newsup.univ-mrs.fr
D000465:Algorithms; D016571:Neural Networks, Computer