A review of evolutionary multi-objective clustering approaches
Evolutionary multi-objective clustering (EMOC), a modern clustering technique, has been
widely applied to extract patterns, allowing us to analyze different aspects of complex data …
widely applied to extract patterns, allowing us to analyze different aspects of complex data …
An Improved Evolutionary Multi-Objective Clustering Algorithm Based on Autoencoder
M Qiu, Y Zhang, S Lei, M Gu - Applied Sciences, 2024 - mdpi.com
Evolutionary multi-objective clustering (EMOC) algorithms have gained popularity recently,
as they can obtain a set of clustering solutions in a single run by optimizing multiple …
as they can obtain a set of clustering solutions in a single run by optimizing multiple …
Data mining and image analysis using genetic programming
MS Varniab, CC Hung, VK Sharghi - ACM SIGAPP Applied Computing …, 2020 - dl.acm.org
Genetic programming (GP) is an artificial intelligence technique that benefits from
evolutionary computations allowing computers to solve problems automatically. In this …
evolutionary computations allowing computers to solve problems automatically. In this …
Classification of multiclass datasets using genetic programming
MS Varniab, CC Hung, VK Sharghi - … of the Conference on Research in …, 2019 - dl.acm.org
This paper1 proposes an approach which uses optimized genetic programming (GP) with a
new fitness function for multiclass dataset classification. In place of defining static thresholds …
new fitness function for multiclass dataset classification. In place of defining static thresholds …