Adaptive Resonance Theory-based Topological Clustering with a Divisive Hierarchical Structure Capable of Continual Learning
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DOI: 10.1109/access.2022.3186479
Abstract: Adaptive Resonance Theory (ART) is considered as an effective approach for realizing continual learning thanks to its ability to handle the plasticity-stability dilemma. In general, however, the clustering performance of ART-based algorithms strongly depends on… read more here.
Keywords: continual learning; divisive hierarchical; topological clustering; adaptive resonance ... See more keywords
A Divisive Hierarchical Clustering Approach to Hyperspectral Band Selection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3184353
Abstract: Band selection, considered as an effective dimensionality reduction technique for hyperspectral imagery (HSI), has become a hot topic for decades. Although various clustering-based methods have been applied to band selection, only a few studies explored… read more here.
Keywords: band; clustering approach; hierarchical clustering; divisive hierarchical ... See more keywords