Clustering methodology for symbolic data
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Clustering methodology for symbolic data
Clustering Methodology for Symbolic DataWiley Series in Computational StatisticsConsulting Editors:Paolo GiudiciUniversity of Pavia, ItalyGeof H. Give Clustering methodology for symbolic dataensColorado State University, USAWiley Series in Computational Statistics is comprised of practical guides and cutting edge research books on new developments in computational statistics. It features quality authors with a strong applications focus. I he texts in the series provide detailed coverage Clustering methodology for symbolic data of statistical concepts, methods and case studies in areas at the interface of statistics, computing, and numerics. With sound motivation and a wealtClustering methodology for symbolic data
h of practical examples, the books show in concrete terms how to select and to use appropriate ranges of statistical computing techniques in particulaClustering Methodology for Symbolic DataWiley Series in Computational StatisticsConsulting Editors:Paolo GiudiciUniversity of Pavia, ItalyGeof H. Give Clustering methodology for symbolic dataonal methods in statistics to fields of bioinformatics, genomics, epidemiology, business, engineering, finance and applied statistics.Clustering Methodology for Symbolic DataLynne BillordUniversity of Georgia, USAEdwin DidoyCEREMADE, Université Paris-Dauphine, Université PSL, Paris, FranceWileyThis Clustering methodology for symbolic dataedition first published 2020© 2020 John Wiley & Sons LidAll rights reserved. No pari OÍ this publication may be reproduced, stored in a retrieval systClustering methodology for symbolic data
em, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, except as permitted by law. Advice on hClustering Methodology for Symbolic DataWiley Series in Computational StatisticsConsulting Editors:Paolo GiudiciUniversity of Pavia, ItalyGeof H. Give Clustering methodology for symbolic dataay to be identified as the authors of this work has been asserted in accordance with law.Registered OfficesJohn Wiley & Sons, Inc., Ill River Street, Hoboken, NJ 07030, USAJohn Wiley & Sons Ltd, I ho Atrium. Southern Gate, Chichester, West Sussex, POI9 8SQ, UKEditorial Office9600 Garsington Road, Ox Clustering methodology for symbolic dataford. 0X4 2DQ, UKFor details of our global editorial offices, customer services, and more information about Wiley products visit US at www.wiley.com.WClustering methodology for symbolic data
iley also publishes its books in a variety of electronic formats and by print-on-demand. Some content that appears in standard print versions of this Clustering Methodology for Symbolic DataWiley Series in Computational StatisticsConsulting Editors:Paolo GiudiciUniversity of Pavia, ItalyGeof H. Give Clustering methodology for symbolic datareparing this work, they make no representations or warranties with respect to the accuracy or completeness of the contents of this work and specifically disclaim all warranties, including without limitation any implied warranties of merchantability or fitness for a particular purpose. No warranty m Clustering methodology for symbolic dataay be created or extended by sales representatives, written sales materials or promotional statements for this work. The fact that an organization, weClustering methodology for symbolic data
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any other commercial damages, including but not limited to special, incidental, consequential, or other damages.Library of Congress Cataloging-in-PubClustering Methodology for Symbolic DataWiley Series in Computational StatisticsConsulting Editors:Paolo GiudiciUniversity of Pavia, ItalyGeof H. Give Clustering methodology for symbolic dataf Georgia), Edwin Diday (CEREMADE, University Paris-Dauphine, University PSL, Paris, France).Description: Hoboken, NJ: Wiley, 2020.1 Includes bibliographical references and index. IIdentifiers: LCCN 2019011612 (print) I LCCN 2019018310 (ebook) I ISBN9781 119010388 (Adobe PDF) I ISBN 97811 19010395 ( Clustering methodology for symbolic dataePub) I ISBN 9780470713938 (hardcover)Subjects: I.CSI I: Cluster analysis. I Multivariate analysis.Clustering Methodology for Symbolic DataWiley Series in Computational StatisticsConsulting Editors:Paolo GiudiciUniversity of Pavia, ItalyGeof H. GiveClustering Methodology for Symbolic DataWiley Series in Computational StatisticsConsulting Editors:Paolo GiudiciUniversity of Pavia, ItalyGeof H. GiveGọi ngay
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