Projection-Based Clustering through Self-Organization and Swarm Intelligence
This book is published open access under a CC BY 4.0 license. It covers aspects of unsupervised machine learning used for knowledge discovery in data science and introduces a data-driven approach to cluster analysis, the Databionic swarm(DBS). DBS consist
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Projection-Based Clustering through Self-Organization and Swarm Intelligence Combining Cluster Analysis with the Visualization of High-Dimensional Data
Projection-Based Clustering through Self-Organization and Swarm Intelligence
Michael Christoph Thrun
Projection-Based Clustering through Self-Organization and Swarm Intelligence Combining Cluster Analysis with the Visualization of High-Dimensional Data
Michael Christoph Thrun Marburg, Germany Philipps-Universität Marburg 2017, Hochschulkennziffer 1180
ISBN 978-3-658-20539-3 ISBN 978-3-658-20540-9 (eBook) https://doi.org/10.1007/978-3-658-20540-9 Library of Congress Control Number: 2017963649 Springer Vieweg © The Editor(s) (if applicable) and The Author(s) 2018. This book is an open access publication. Open Access This book is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this book are included in the book's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the book's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. 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. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paper This Springer Vieweg imprint is published by Springer Nature The registered company is Springer Fachmedien Wiesbaden GmbH The registered company address is: Abraham-Lincoln-Str. 46, 65189 Wiesbaden, Germany
Acknowledgments My gratitude goes to my sister Monika Sikora. You have converted with great devotion my often complex phrases and contexts into intelligible words. I thank you for your intuitive understanding of language. I would like to thank Prof. Dr. Alfred Ultsch for his demanding scientific guidance and continuing education. His leadership and preparatory work have provided me with the tools to meet the demands of the job. Your suggestions have given me the creativity that w
