Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Rough-DBSCAN: A fast hybrid density based clustering method for large data sets
Pattern Recognition Letters
Generalized median string computation by means of string embedding in vector spaces
Pattern Recognition Letters
Essentials of the self-organizing map
Neural Networks
Normalised LCS-based method for indexing multidimensional data cube
International Journal of Intelligent Information and Database Systems
Pattern Recognition Letters
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The concept of 'median string' over a set of strings is introduced in this paper. The set median is defined to be that element in the set of strings which has the smallest sum of distances (with respect to an arbitrary measure) from the other elements, and the (generalized) median is a hypothetical, artificially constructed element which has the smallest sum of distances from all the elements of the given set. The applicability of the median strings in the recognition of garbled strings is demonstrated, where they mostly yield a higher accuracy than the multiple-similarity and the k-nearest-neighbour methods.