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Abstract: The generation of a set of rules underlying a classification problem is performed by applying a new algorithm, called Hamming Clustering (HC). It reconstructs the and-or expression associated with any Boolean function from a training set of samples. (Update)
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BibTeX entry: (Update)
Muselli M., Liberati D.: Binary Rule Generation via Hamming Clustering, IEEE Trans on Knowledge and Data Engineering, 14 (2002), pp. 1258-1268 http://citeseer.ist.psu.edu/muselli02binary.html More
@misc{ muselli02binary,
author = "M. Muselli and D. Liberati",
title = "Binary Rule Generation via Hamming Clustering",
text = "Muselli M., Liberati D.: Binary Rule Generation via Hamming Clustering,
IEEE Trans on Knowledge and Data Engineering, 14 (2002), pp. 1258-1268",
year = "2002",
url = "citeseer.ist.psu.edu/muselli02binary.html" }
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