Adaptive Resonance Theory, or ART, is a cognitive and neural theory of how the brain
autonomously learns to categorize, recognize, and predict objects and events in a changing …

Data analysis plays an indispensable role for understanding various phenomena. Cluster
analysis, primitive exploration with little or no prior knowledge, consists of research …

This is the first book to take a truly comprehensive look at clustering. It begins with an
introduction to cluster analysis and goes on to explore: proximity measures; hierarchical …

The development of the technology creates the lot of changes in food processing which
leads to alter human life style. Due to the change of their food habits and lack of attention to …

This survey samples from the ever-growing family of adaptive resonance theory (ART)
neural network models used to perform the three primary machine learning modalities …

It is crucial for cancer diagnosis and treatment to accurately identify the site of origin of a
tumor. With the emergence and rapid advancement of DNA microarray technologies …

Clustering has been applied in many areas, including signal and image processing. This
chapter reviews the motivation for clustering and several different types of clustering. See …

This paper presents a novel adaptive resonance theory (ART)-based modular architecture
for unsupervised learning, namely the distributed dual vigilance fuzzy ART (DDVFA) …

We introduce ellipsoid-ART (EA) and ellipsoid-ARTMAP (EAM) as a generalization of
hypersphere ART (HA) and hypersphere-ARTMAP (HAM) respectively. As was the case with …

In this paper, a novel unsupervised neural network combining elements from Adaptive
Resonance Theory and topology learning neural networks, in particular the Self-Organising …