Overview on Cluster Analysis

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 techniqu

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Kweku-Muata Osei-Bryson Ojelanki Ngwenyama Editors

Advances in Research Methods for Information Systems Research Data Mining, Data Envelopment Analysis, Value Focused Thinking

Integrated Series in Information Systems Volume 34

Series editors Ramesh Sharda, Stillwater, USA Stefan Voß, Hamburg, Germany

For further volumes: http://www.springer.com/series/6157

Kweku-Muata Osei-Bryson Ojelanki Ngwenyama Editors

Advances in Research Methods for Information Systems Research Data Mining, Data Envelopment Analysis, Value Focused Thinking

13

Editors Kweku-Muata Osei-Bryson Department of Information Systems Virginia Commonwealth University Richmond, VA USA

Ojelanki Ngwenyama Department of Information Systems Ryerson University Toronto, ON Canada

ISSN  1571-0270 ISSN  2197-7968  (electronic) ISBN 978-1-4614-9462-1 ISBN 978-1-4614-9463-8  (eBook) DOI 10.1007/978-1-4614-9463-8 Springer New York Heidelberg Dordrecht London

Library of Congress Control Number: 2013953894 © Springer Science+Business Media New York 2014 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)

Contents

1 Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Kweku-Muata Osei-Bryson and Ojelanki Ngwenyama 2 Logical Foundations of Social Scienc

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