Instance selection plays a pivotal role in enhancing machine learning by identifying and retaining those data instances that are most informative for the learning process, while discarding redundant ...

It is a significant and challenging task to detect the informative features to carry out explainable analysis and build an interpretable AI system for high dimensional data, especially for those with ...

Text clustering is an unsupervised learning technique that organises documents into coherent groups based on shared linguistic and semantic characteristics. The effectiveness of clustering depends ...