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
Journal ArticleDOI
A fuzzy controller for maximum energy extraction from variable speed wind power generation systems
TL;DR: The implemented TSK fuzzy model, as confirmed by some simulation results on a doubly fed induction generator connected to a power system, exhibits high speed of computation, low memory occupancy, fault tolerance and learning capability.
Journal ArticleDOI
Recent convergence results for the fuzzy c-means clustering algorithms
TL;DR: The purpose of this paper is to collect the main global and local, numerical and stochastic, convergence results for FCM in a brief and unified way.
Journal ArticleDOI
Iterative fuzzy image segmentation
TL;DR: This work has led to the development of a iterative fuzzy clustering technique which represents an image segmentation scheme which can be used as a preprocessor for a multivalued logic based computer vision system.
Journal ArticleDOI
Unsupervised Learning Methods for Molecular Simulation Data.
Aldo Glielmo,Brooke E. Husic,Alex Rodriguez,Cecilia Clementi,Frank Noé,Frank Noé,Alessandro Laio,Alessandro Laio +7 more
TL;DR: This Review provides a comprehensive overview of the methods of unsupervised learning that have been most commonly used to investigate simulation data and indicates likely directions for further developments in the field.
Journal ArticleDOI
Using fuzzy numbers in educational grading system
TL;DR: This study was prepared not only to assist teachers, in a practical setting, aggregating different test scores in order to produce a single score or grade for student, but also to help teachers deciding whether to revise an instructional procedure for their students.
References
More filters
Journal ArticleDOI
Nearest neighbor pattern classification
Thomas M. Cover,Peter E. Hart +1 more
TL;DR: The nearest neighbor decision rule assigns to an unclassified sample point the classification of the nearest of a set of previously classified points, so it may be said that half the classification information in an infinite sample set is contained in the nearest neighbor.
Book
Introduction to Statistical Pattern Recognition
TL;DR: This completely revised second edition presents an introduction to statistical pattern recognition, which is appropriate as a text for introductory courses in pattern recognition and as a reference book for workers in the field.
A fuzzy relative of the isodata process and its use in detecting compact well-separated clusters
TL;DR: In this paper, two fuzzy versions of the k-means optimal, least squared error partitioning problem are formulated for finite subsets X of a general inner product space, and the extremizing solutions are shown to be fixed points of a certain operator T on the class of fuzzy, k-partitions of X, and simple iteration of T provides an algorithm which has the descent property relative to the LSE criterion function.