Validation is one of the most important aspects of clustering, but most approaches have
been batch methods. Recently, interest has grown in providing incremental alternatives. This …

The internal representation of the categories in Adaptive Resonance Theory (ART) neural
networks can greatly affect the quality and compactness of the discovered clusters. Dual …

Abstract Deep Neural Networks are becoming the prominent solution when using machine
learning models. However, they suffer from a black-box effect that renders complicated their …

Adaptive resonance theory (ART) networks, including developmental resonance network
(DRN), basically use a vigilance parameter as a hyperparameter to determine whether a …

Cluster analysis can be broadly divided into multivariate data visualization, clustering
algorithms, and cluster validation. This dissertation contributes neural network-based …

This paper presents an adaptive resonance theory predictive mapping (ARTMAP) model
which uses incremental cluster validity indices (iCVIs) to perform unsupervised learning …

Detection of gene mutations is central for assessing genetic factors affecting disease
predisposition, genetic causes of a particular disease, and gene-targeted treatment. DNA …