Abstract
The problem of cluster analysis of syntactic patterns is addressed. A new clustering method is proposed based on a minimum grammar complexity criterion. Grammars, describing the structure of patterns, are used as kernel functions in a hierarchical agglomerative clustering algorithm, taking a ratio of decrease in grammar complexity as criterion for cluster association. Cluster analysis of a set of contour images is performed to illustrate the proposed approach.
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© 1996 Springer-Verlag Berlin Heidelberg
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Fred, A.L.N. (1996). Clustering of sequences using a minimum grammar complexity criterion. In: Miclet, L., de la Higuera, C. (eds) Grammatical Interference: Learning Syntax from Sentences. ICGI 1996. Lecture Notes in Computer Science, vol 1147. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0033346
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DOI: https://doi.org/10.1007/BFb0033346
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