Ellipsoid Art And Artmap For Incremental Unsupervised And Supervised Learning
Adaptive resonance theory; Classification; Clustering; Fuzzy ART; Fuzzy ARTMAP; Self-organization
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.
Proceedings of SPIE - The International Society for Optical Engineering
Number of Pages
Article; Proceedings Paper
Source API URL
Anagnostopoulos, G. C. and Georgiopoulos, M., "Ellipsoid Art And Artmap For Incremental Unsupervised And Supervised Learning" (2001). Scopus Export 2000s. 562.