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

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

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...

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Bibliographic Details
Main Authors:	Tie, K. H., A., Senawi, Chuan, Z. L.
Format:	Book Chapter
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/ http://umpir.ump.edu.my/id/eprint/35517/1/FULL%20TEXT%20PAPER.pdf

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