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 Grouping Multidimensional Data: Recent Advances in ClusteringClustering is a fundamental problem that has numerous applications in many disciplines. Clustering techniques are used to discover natural groups in datasets and to identify abstract structures that might reside there, without having any background knowledge of the characteristics of the data. They have been used in various areas including... |  |  Satellite Communication EngineeringBecause of the immense importance of signal processing and the fastgrowing demands of business and industry, this series on signal processing serves to report up-to-date developments and advances in the field. The topics of interest include but are not limited to the following.
- Signal theory and analysis
... |  |  System Integration: From Transistor Design to Large Scale Integrated CircuitsThe development of large-scale integrated systems-on-a-chip has had a dramatic effect on circuit design methodology. Escalating requirements for low-power, high-chip density circuits and systems have resulted in increasingly complex Bipolar, CMOS and BICMOS technologies. In order to design cost-effective and reliable systems a thorough... |
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 Introduction to Clustering Large and High-Dimensional Data"...this book may serve as a useful reference for scientists and engineers who need to understand the concepts of clustering in general and/or to focus on text mining applications. It is also appropriate for students who are attending a course in pattern recognition, data mining, or classification and are interested in learning more about... |  |  Digital Design: Principles and Practices, Third EditionUsing an easy-to-follow, practical writing style, extensive illustrations, large design examples, and programming examples written in C, this book provides an authoritative introduction to basic principles of digital design and practical requirements in both board-level and VLSI systems. Wakerly uses a unique, multifaceted approach that combines... |  |  |
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