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Data Clustering: Theory, Algorithms, and Applications (ASA-SIAM Series on Statistics and Applied Probability) Paperback – May 30, 2007

ISBN-13: 978-0898716238 ISBN-10: 0898716233

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Product Details

  • Series: ASA-SIAM Series on Statistics and Applied Probability (Book 20)
  • Paperback: 466 pages
  • Publisher: SIAM, Society for Industrial and Applied Mathematics (May 30, 2007)
  • Language: English
  • ISBN-10: 0898716233
  • ISBN-13: 978-0898716238
  • Product Dimensions: 6.8 x 1 x 9.7 inches
  • Shipping Weight: 1.8 pounds (View shipping rates and policies)
  • Amazon Best Sellers Rank: #1,611,781 in Books (See Top 100 in Books)

Editorial Reviews

Book Description

This book enables readers and users to easily identify an appropriate algorithm for their applications and compare novel ideas with existing results. Application areas include pattern recognition, artificial intelligence, information technology, image processing, biology, psychology, and marketing. A valuable tool and reference for applied statisticians; engineers, scientists and applied mathematicians.

About the Author

Guojun Gan is a Ph.D. candidate in the Department of Mathematics and Statistics at York University, Ontario, Canada. His research interests include data mining and data clustering, and he is the coauthor of algorithms for clustering categorical data and for subspace/projective clustering of high-dimensional data. Chaoqun Ma is Professor and the Deputy Dean of the College of Business Administration at Hunan University, People s Republic of China. His main research areas are data mining, financial engineering, and risk management. Jianhong Wu is a Senior Canada Research Chair in Applied Mathematics at York University, Ontario, Canada. He is the author or coauthor of over 200 peer-reviewed publications and six monographs in the areas of nonlinear dynamical systems, delay differential equations, mathematical biology and epidemiology, neural networks, and pattern formation and recognition.

More About the Author

Guojun Gan holds a PhD. degree and a MS degree in applied mathematics from York University, Toronto, ON, Canada and a BS degree in computational mathematics and its applied software from Jilin University, Changchun, Jilin, P.R. China. Currently, Guojun Gan is a Director, Research & Development at the Global Variable Annuity Hedging Department of Manulife Financial, where he is responsible for improving, exploring, and developing mathematical models to support the global variable annuity hedging programs. During his PhD study at York University, Guojun has published one book and several papers on data clustering. While working in industry, Guojun continued to work on scholarly projects in his free time and published two books.

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