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Clustering and Classification

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Centrality and Diversity in Search

Part of the book series: SpringerBriefs in Intelligent Systems ((BRIEFSINSY))

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Abstract

Optimization is another important tool that helps in defining, designing, and in model selection in various machine learning tasks including dimensionality reduction, clustering, and classification. We discuss, in this chapter, the role of optimization in feature selection, feature extraction, clustering, and classification.

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Correspondence to M. N. Murty .

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Murty, M.N., Biswas, A. (2019). Clustering and Classification. In: Centrality and Diversity in Search. SpringerBriefs in Intelligent Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-24713-3_4

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  • DOI: https://doi.org/10.1007/978-3-030-24713-3_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24712-6

  • Online ISBN: 978-3-030-24713-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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