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Overview on Cluster Analysis

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Advances in Research Methods for Information Systems Research

Part of the book series: Integrated Series in Information Systems ((ISIS,volume 34))

Abstract

This chapter provides an overview of cluster analysis. Its main purpose is to introduce the reader to the major concepts underlying this data mining (DM) technique, particularly those that are relevant to the chapter that involves the use of this technique. It also provides an illustrative example of cluster analysis.

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Author information

Authors and Affiliations

  1. Department of Information Systems, Virginia Commonwealth University, 301 W. Main Street, Richmond, VA, 23284, USA

    Kweku-Muata Osei-Bryson

  2. Department of Computer Science, Averett University, 420 W Main Street, Danville, VA, 24541, USA

    Sergey Samoilenko

Authors
  1. Kweku-Muata Osei-Bryson
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  2. Sergey Samoilenko
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Corresponding author

Correspondence to Kweku-Muata Osei-Bryson .

Editor information

Editors and Affiliations

  1. Department of Information Systems, Virginia Commonwealth University, Richmond, Virginia, USA

    Kweku-Muata Osei-Bryson

  2. Department of Information Systems, Ryerson University, Toronto, Ontario, Canada

    Ojelanki Ngwenyama

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Osei-Bryson, KM., Samoilenko, S. (2014). Overview on Cluster Analysis. In: Osei-Bryson, KM., Ngwenyama, O. (eds) Advances in Research Methods for Information Systems Research. Integrated Series in Information Systems, vol 34. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-9463-8_10

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