Improving performance of classification on incomplete data using feature selection and clustering
Improving performance of classification on incomplete data using feature selection and clustering is a scholarly work by Mengjie Zhang, Bing Xue, and Peter Merrett Andreae, published in 2018 in ''Applied Soft Computing''. The main subjects of the publication include classifier, cluster analysis, swarm intelligence, data mining, imputation, genetic programming, artificial intelligence, incomplete data, missing data, machine learning, pattern recognition, feature selection, and computer science. The paper proposes new approaches to integrating imputation, clustering and feature selection for classification with incomplete data in order to improve efficiency without loss of accuracy.