An observation of different clustering algorithms and clustering evaluation criteria for a feature selection based on linear discriminant analysis

• Main Authors: Tie, K. H., A., Senawi, Chuan, Z. L.
• Format: Book Section
• Language: English
• Published: Springer Nature Singapore Ptd. Ltd. 2022
• Subjects: HD28 Management. Industrial Management; TJ Mechanical engineering and machinery
• Online Access: http://umpir.ump.edu.my/id/eprint/35517/1/FULL%20TEXT%20PAPER.pdf; http://umpir.ump.edu.my/id/eprint/35517/; https://doi.org/10.1007/978-981-19-2095-0_42; https://doi.org/10.1007/978-981-19-2095-0_42

Linear discriminant analysis (LDA) is a very popular method for dimensionality reduction in machine learning. Yet, the LDA cannot be implemented directly on unsupervised data as it requires the presence of class labels to train the algorithm. Thus, a clustering algorithm is needed to predict the cla...