Ellipsoid Art And Artmap For Incremental Clustering And Classification
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 HA/HAM, these novel architectures are based on ideas rooted in Fuzzy-ART (FA) and Fuzzy-ARTMAP (FAM). While FA/FAM 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 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 respectively.
Proceedings of the International Joint Conference on Neural Networks
Number of Pages
Article; Proceedings Paper
Source API URL
Anagnostopoulos, G. C. and Georgiopoulos, M., "Ellipsoid Art And Artmap For Incremental Clustering And Classification" (2001). Scopus Export 2000s. 572.