Fuzzy Artmap Modifications for Intersecting Class Distributions
As originally defined, the Fuzzy ARTMAP algorithm performs poorly with intersecting class distributions, as commonly occur in real-world data. This chapter describes several modifications which eliminate the underlying category proliferation problem. The performance of the original and modified algorithms is demonstrated with examples from the speech and image understanding domains.
KeywordsInput Vector Choice Function Class Distribution Test Vector Image Annotation
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