Open AccessBook
Pattern Recognition with Fuzzy Objective Function Algorithms
Reads0
Chats0
TLDR
Books, as a source that may involve the facts, opinion, literature, religion, and many others are the great friends to join with, becomes what you need to get.Abstract:
New updated! The latest book from a very famous author finally comes out. Book of pattern recognition with fuzzy objective function algorithms, as an amazing reference becomes what you need to get. What's for is this book? Are you still thinking for what the book is? Well, this is what you probably will get. You should have made proper choices for your better life. Book, as a source that may involve the facts, opinion, literature, religion, and many others are the great friends to join with.read more
Citations
More filters
Book
Data Mining: Concepts and Techniques
TL;DR: This book presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects, and provides a comprehensive, practical look at the concepts and techniques you need to get the most out of real business data.
Journal ArticleDOI
Data clustering: a review
TL;DR: An overview of pattern clustering methods from a statistical pattern recognition perspective is presented, with a goal of providing useful advice and references to fundamental concepts accessible to the broad community of clustering practitioners.
Journal ArticleDOI
Community detection in graphs
TL;DR: A thorough exposition of community structure, or clustering, is attempted, from the definition of the main elements of the problem, to the presentation of most methods developed, with a special focus on techniques designed by statistical physicists.
Journal ArticleDOI
Community detection in graphs
TL;DR: A thorough exposition of the main elements of the clustering problem can be found in this paper, with a special focus on techniques designed by statistical physicists, from the discussion of crucial issues like the significance of clustering and how methods should be tested and compared against each other, to the description of applications to real networks.
Journal ArticleDOI
Data clustering: 50 years beyond K-means
TL;DR: A brief overview of clustering is provided, well known clustering methods are summarized, the major challenges and key issues in designing clustering algorithms are discussed, and some of the emerging and useful research directions are pointed out.
References
More filters
Journal ArticleDOI
On pattern classification algorithms--Introduction and survey
Yu-Chi Ho,Ashok K. Agrawala +1 more
TL;DR: It is shown that these algorithms can be classified according to the type of input information required and that the techniques of estimation, decision, and optimization theory can be used effectively to derive known as well as new results.
Journal ArticleDOI
Convex decompositions of fuzzy partitions
James C. Bezdek,J Douglas Harris +1 more
TL;DR: It is shown how the sequence of partitions in any convex decomposition leads to a matrix for which the norm of the corresponding coefficient vector equals a scalar measure of partition fuzziness used with certain fuzzy clustering algorithms.
Book ChapterDOI
A Category-Theoretic Approach to Systems in a Fuzzy World
Michael A. Arbib,Ernest G. Manes +1 more
TL;DR: The last 30 years have seen the growth of a new branch of mathematics called category theory which provides a general perspective on many different branches of mathematics as discussed by the authors, and many workers (see Lawvere, 1972) have argued that it is category theory, rather than Set Theory, that provides the proper setting for the study of the Foundations of Mathematics.
Journal ArticleDOI
Numerical classification for taxonomic problems
Robert H. Flake,B. L. Turner +1 more
TL;DR: A new procedure for numerical classification has been developed to aid in biological classification problems, particularly at the infraspecific level or lower, and appears to be consistent with the classification methods employed by most taxonomists.