Abstract
In this paper, work that has been carried out on the processing of data derived from interview forms is discussed. Various attempts have been made to process the data using Kohonen self-organising maps. The object of the processing was to identify both local and global trends within the data sets. The difficulty encountered in training the networks and interpreting the results led to the development of a new vector quantisation network, the ‘Euclidean Memory Array’, a network made distinct by the lack of a conventional learning process. This technique provided a valuable insight into the trends within the data, proving effective even on extremely small data sets.
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Larkin, A.B., Hines, E.L. & Thomas, S.M. The Euclidean Memory Array — A vector quantisation technique for the processing of data from interview forms. Neural Comput & Applic 2, 53–57 (1994). https://doi.org/10.1007/BF01423098
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DOI: https://doi.org/10.1007/BF01423098