Clustering of Binary Market Research Data |
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Authors: | AB Larkin K Oldham |
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Affiliation: | (1) Knowledge Based Engineering Centre, Coventry University, Coventry, UK, GB |
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Abstract: | This paper details research carried out into the clustering of large market research data sets. The aim of the analysis was
to find clusters of vectors in the data with maximum similarity expressed in the form of identical question answers. A novel
paradigm (the interrogative memory structure) has been developed and compared with current unsupervised artificial neural
network and statistical clustering techniques. The interrogative memory structure is a bi-directional network, which, when
utilised with the controlling algorithm detailed in this paper, has produced encouraging results with initial tests. A detailed
account of the paradigm is given along with an analysis of the initial results. |
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Keywords: | :ART1 Clustering FASTCLUS Self-organising maps |
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