Title
Ellipsoid Art And Artmap For Incremental Clustering And Classification
Abstract
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.
Publication Date
1-1-2001
Publication Title
Proceedings of the International Joint Conference on Neural Networks
Volume
2
Number of Pages
1221-1226
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
0034869903 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0034869903
STARS Citation
Anagnostopoulos, G. C. and Georgiopoulos, M., "Ellipsoid Art And Artmap For Incremental Clustering And Classification" (2001). Scopus Export 2000s. 572.
https://stars.library.ucf.edu/scopus2000/572