Ellipsoid ART and ARTMAP for Incremental Clustering and Classification
نویسندگان
چکیده
We introduce Ellipsoid-ART (EA) and Ellipsoid-ARTMAP (EAM) as a generalization of Hyper-sphere ART (HA) and Hypersphere-ARTMAP (HAM) respectively. As was the case with HMHAM, these novel architectures are based on ideas rooted in Fuzzy-ART (FA) and Fuuy-ARTMAP (FAM). While FMFAM aggregate input data using hyperrectangles, EA/EAM utilize hyper-ellipsoids for the same purpose. Due to their learning rules, EA and EAM share virtually all properties and characteristics of their FMFAM counterpa rts. Preliminary experimentation implies that EA and EAM are to be viewed as good alternatives to FA and FAM for data clustering and classification tasks respectively.
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