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- W2075807321 abstract "We introduce Ellipsoid-ART, EA and Ellipsoid-ARTMAP, EAM as a generalization of Hyper-sphere ART and Hypersphere-ARTMAP respectively. Our novel archetectures are based on ideas rooted on Fuzzy-ART, FA and Fuzzy-ARTMAP, FAM. While FA/FAM summarize input data using hyper-rectangles, 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 FA/FAM counterparts. Preliminary experimentation implies that EA and EAM are to be viewed as good alternatives to FA and FAM for data clustering and classification tasks. Extensive pseudo-code is provided in the appendices for computationally efficient implementations of EA/EAM training and performance phases.© (2001) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only." @default.
- W2075807321 created "2016-06-24" @default.
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- W2075807321 date "2001-03-21" @default.
- W2075807321 modified "2023-10-12" @default.
- W2075807321 title "<title>Ellipsoid ART and ARTMAP for incremental unsupervised and supervised learning</title>" @default.
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- W2075807321 doi "https://doi.org/10.1117/12.421180" @default.
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