Title

Ellipsoid Art And Artmap For Incremental Unsupervised And Supervised Learning

Keywords

Adaptive resonance theory; Classification; Clustering; Fuzzy ART; Fuzzy ARTMAP; Self-organization

Abstract

We introduce Ellipsoid-ART (EA) and Ellipsoid-ARTMAP (EAM) as a generalization of Hyper-sphere ART and Hypersphere-ARTMAP respectively. Our novel architectures are based on ideas rooted in 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.

Publication Date

1-1-2001

Publication Title

Proceedings of SPIE - The International Society for Optical Engineering

Volume

4390

Number of Pages

293-304

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1117/12.421180

Socpus ID

0034942801 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0034942801

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