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Classification and Clustering

In: Fundamentals of Data Analytics

Author

Listed:
  • Rudolf Mathar

    (RWTH Aachen University, Institute for Theoretical Information Technology)

  • Gholamreza Alirezaei

    (RWTH Aachen University, Chair and Institute for Communications Engineering)

  • Emilio Balda

    (RWTH Aachen University, Institute for Theoretical Information Technology)

  • Arash Behboodi

    (RWTH Aachen University, Institute for Theoretical Information Technology)

Abstract

Classifying objectsClassification according to certain features is one of the fundamental problems in machine learning. Binary classification by supervised learning will be the topic of Chap. 6 . In this chapter we will start with some elementary classification rules which are derived by a training set. The goal is to find a classifierClassifier that predicts the class correspondence of future observations as accurately as possible.

Suggested Citation

  • Rudolf Mathar & Gholamreza Alirezaei & Emilio Balda & Arash Behboodi, 2020. "Classification and Clustering," Springer Books, in: Fundamentals of Data Analytics, chapter 0, pages 69-81, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-56831-3_5
    DOI: 10.1007/978-3-030-56831-3_5
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