About this product

Product Identifiers

PublisherWiley & Sons, Incorporated, John

ISBN-100471469661

ISBN-139780471469667

eBay Product ID (ePID)30999556

Product Key Features

Number of Pages336 Pages

Publication NameKnowledge-Based Clustering : from Data to Information Granules

LanguageEnglish

SubjectData Processing, System Theory, Electronics / General

Publication Year2005

TypeTextbook

Subject AreaComputers, Technology & Engineering, Science

AuthorWitold Pedrycz

FormatHardcover

Dimensions

Item Height0.8 in

Item Weight21.3 Oz

Item Length9.5 in

Item Width6.3 in

Additional Product Features

Intended AudienceScholarly & Professional

LCCN2004-054805

Reviews"I agree with Zadeh's opinion (mentioned at the end of book's foreword): 'The author and the publisher deserve our loud applause and congratulations.'" ( Computing Reviews.com , May 19, 2005)

Dewey Edition22

IllustratedYes

Dewey Decimal006.3

SynopsisA comprehensive coverage of emerging and current technology dealing with heterogeneous sources of information, including data, design hints, reinforcement signals from external datasets, and related topics Covers all necessary prerequisites, and if necessary,additional explanations of more advanced topics, to make abstract concepts more tangible Includes illustrative material andwell-known experimentsto offer hands-on experience, Knowledge-Based Clustering: From Data to Information Granules is the first comprehensive treatment of Knowledge-Based Clustering - the clustering from data to information granules able to be integrated together with other sources of knowledge into meaningful complex intelligent systems., Discover the latest powerful tools in knowledge management Knowledge-Based Clustering demonstrates how to design navigational platforms that enable information seekers to make sense of and better exploit highly diverse and heterogeneous sets of data. Moving beyond fuzzy clustering, the author shows how the promising new paradigm of knowledge-based clustering can reveal more meaningful data structure and enable society to better cope with the ever-growing flood of data and information. With this book, readers come to understand the fundamentals of knowledge-based clustering and its associated algorithms, and then learn to apply their knowledge to system modeling and design. The book begins with an introduction to the field and a discussion of fuzzy clustering and granular computing. Then, the author delves into logic-based neurons and ensuing neural networks. The core part of the book consists of nine chapters in which highly diversified methodologies of knowledge-based clustering are presented and analyzed. The third section of the book is devoted to models, beginning with a discussion of the hyperbox architectures and then moving on to granular mappings and linguistic models. All the tools and guidance needed to understand and master this exciting new field are provided: Numerous practical examples illustrating key concepts Reproducible experiments that offer readers the opportunity for hands-on experience Comprehensive coverage of prerequisites that set the foundation for complex algorithms and modeling Conclusion section at the end of each chapter that emphasizes the key points needed to move forward in the text References plus an extensive bibliography leading to further avenues of exploration on specialized topics This is must reading for researchers, professionals, and students interested in clustering, fuzzy clustering, unsupervised learning, neural networks, fuzzy sets, pattern recognition, and system modeling. With the author's emphasis on mastering the prerequisites, coupled with carefully constructed practical examples and experiments, readers will be well on their way to becoming knowledge-based clustering experts themselves., A comprehensive coverage of emerging and current technology dealing with heterogeneous sources of information, including data, design hints, reinforcement signals from external datasets, and related topics Covers all necessary prerequisites, and if necessary, additional explanations of more advanced topics, to make abstract concepts more tangible Includes illustrative material andwell-known experimentsto offer hands-on experience

LC Classification NumberQA76.9.S63P45 2005