Fuzzy c-Means Clustering of Incomplete Data Using Dimension-Wise Fuzzy Variances of Clusters
Clustering is an important technique for identifying groups of similar data objects within a data set. Since problems during the data collection and data preprocessing steps often lead to missing values in the data sets, there is a need for clustering met
- PDF / 50,174,582 Bytes
- 754 Pages / 439.37 x 666.142 pts Page_size
- 76 Downloads / 230 Views
Communications in Computer and Information Science
610
Information Processing and Management of Uncertainty in Knowledge-Based Systems 16th International Conference, IPMU 2016 Eindhoven, The Netherlands, June 20–24, 2016 Proceedings, Part I
123
Communications in Computer and Information Science
610
Commenced Publication in 2007 Founding and Former Series Editors: Alfredo Cuzzocrea, Dominik Ślęzak, and Xiaokang Yang
Editorial Board Simone Diniz Junqueira Barbosa Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil Phoebe Chen La Trobe University, Melbourne, Australia Xiaoyong Du Renmin University of China, Beijing, China Joaquim Filipe Polytechnic Institute of Setúbal, Setúbal, Portugal Orhun Kara TÜBİTAK BİLGEM and Middle East Technical University, Ankara, Turkey Igor Kotenko St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, St. Petersburg, Russia Ting Liu Harbin Institute of Technology (HIT), Harbin, China Krishna M. Sivalingam Indian Institute of Technology Madras, Chennai, India Takashi Washio Osaka University, Osaka, Japan
More information about this series at http://www.springer.com/series/7899
Joao Paulo Carvalho Marie-Jeanne Lesot Uzay Kaymak Susana Vieira Bernadette Bouchon-Meunier Ronald R. Yager (Eds.) •
•
Information Processing and Management of Uncertainty in Knowledge-Based Systems 16th International Conference, IPMU 2016 Eindhoven, The Netherlands, June 20–24, 2016 Proceedings, Part I
123
Editors Joao Paulo Carvalho INESC-ID, Instituto Superior Técnico Universidade de Lisboa Lisboa Portugal
Susana Vieira IDMEC, Instituto Superior Técnico Universidade de Lisboa Lisboa Portugal
Marie-Jeanne Lesot LIP6 Université Pierre et Marie Curie Paris France
Bernadette Bouchon-Meunier LIP6 Université Pierre et Marie Curie, CNRS Paris France
Uzay Kaymak School of Industrial Engineering Eindhoven University of Technology Eindhoven The Netherlands
Ronald R. Yager Machine Intelligence Institute Iona College New Rochelle, NY USA
ISSN 1865-0929 ISSN 1865-0937 (electronic) Communications in Computer and Information Science ISBN 978-3-319-40595-7 ISBN 978-3-319-40596-4 (eBook) DOI 10.1007/978-3-319-40596-4 Library of Congress Control Number: 2016941088 © Springer International Publishing Switzerland 2016 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. 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.
