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Pattern Recognition(4th) 无水印原版pdf.pdf

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    Cover
    Copyright
    Contents
    Preface
    1 Introduction
    2 Classifiers Based on Bayes Decision Theory
    3 Linear Classifiers
    4 Nonlinear Classifiers
    5 Feature Selection
    6 Feature Generation I: Data Transformation and Dimensionality Reduction
    7 Feature Generation II
    8 Template Matching
    9 Context-Dependent Classification
    10 Supervised Learning: The Epilogue
    11 Clustering: Basic Concepts
    12 Clustering Algorithms I: Sequential Algorithms
    13 Clustering Algorithms II: Hierarchical Algorithms
    14 Clustering Algorithms III: Schemes Based on Function Optimization
    15 Clustering Algorithms IV
    16 Cluster Validity
    Appendix A Hints from Probability and Statistics
    Appendix B Linear Algebra Basics
    Appendix C Cost Function Optimization
    Appendix D Basic Definitions from Linear Systems Theory
    Index
    “00-FM-SA272” 18/9/2008 page iv Academic Press is an imprint of Elsevier 30 Corporate Drive, Suite 400, Burlington, MA 01803, USA 525 B Street, Suite 1900, San Diego, California 92101-4495, USA 84 Theobald’s Road, London WC1X 8RR, UK This book is printed on acid-free paper. ⬁ Copyright © 2009, Elsevier Inc. All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Permissions may be sought directly from Elsevier’s Science & Technology Rights Department in Oxford, UK: phone: (+44) 1865 843830, fax: (+44) 1865 853333, E-mail: permissions@elsevier.com. You may also complete your request on-line via the Elsevier homepage (http://elsevier.com), by selecting “Support & Contact” then “Copyright and Permission” and then “Obtaining Permissions.” Library of Congress Cataloging-in-Publication Data Application submitted British Library Cataloguing-in-Publication Data A catalogue record for this book is available from the British Library. ISBN: 978-1-59749-272-0 For information on all Academic Press publications visit our Web site at www.books.elsevier.com Printed in the United States of America 09 10 11 12 13 14 15 16 5 4 3 2 1
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