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Machine Learning-Based Clustering Analysis: Foundational Concepts, Methods, and Applications

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Machine Learning in Clinical Neuroscience

Part of the book series: Acta Neurochirurgica Supplement ((NEUROCHIRURGICA,volume 134))

Abstract

Unsupervised learning, the task of clustering observations in such a way that observations within cluster are more similar than those assigned to other clusters is one the central tasks of data science. Its exploratory and descriptive nature make it one of the most underused and underappreciated methods. In the present chapter we describe its core function with applied examples, explore different approaches, and discuss meaningful applications of the approach for the practicing researcher.

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Author information

Authors and Affiliations

  1. Epidemiology, Biostatistics and Prevention Institute, University of Zurich (UZH), Zurich, Switzerland

    Miquel Serra-Burriel

  2. Department of Neurological Surgery, University of California San Francisco (UCSF), San Francisco, CA, USA

    Christopher Ames

Authors
  1. Miquel Serra-Burriel
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  2. Christopher Ames
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Corresponding author

Correspondence to Miquel Serra-Burriel .

Editor information

Editors and Affiliations

  1. Machine Intelligence in Clinical Neuroscience (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland

    Victor E. Staartjes

  2. Machine Intelligence in Clinical Neuroscience (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland

    Luca Regli

  3. Machine Intelligence in Clinical Neuroscience (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland

    Carlo Serra

Ethics declarations

Dr. Serra-Burriel reports receiving grant funding from the European Commission H2020 program and European Commission EiT Health program.

Dr. Ames reports receiving royalties from Stryker, Biomet Zimmer Spine, DePuy Synthes, NuVasive, Next Orthosurgical, K2M, and Medicrea; being a consultant to DePuy Synthes, Medtronic, Medicrea, and K2M; receiving research support from Titan Spine, DePuy Synthes, and ISSG; being on the editorial board of Operative Neurosurgery; receiving grant funding from SRS; being on the executive committee of ISSG; and being a director of Global Spine Analytics.

None in relation to the present work.

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Serra-Burriel, M., Ames, C. (2022). Machine Learning-Based Clustering Analysis: Foundational Concepts, Methods, and Applications. In: Staartjes, V.E., Regli, L., Serra, C. (eds) Machine Learning in Clinical Neuroscience. Acta Neurochirurgica Supplement, vol 134. Springer, Cham. https://doi.org/10.1007/978-3-030-85292-4_12

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  • DOI: https://doi.org/10.1007/978-3-030-85292-4_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85291-7

  • Online ISBN: 978-3-030-85292-4

  • eBook Packages: MedicineMedicine (R0)

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