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 clustering neural network architecture for multifunction upper-limb prosthesis
TL;DR: The results suggest that FCNN can generalize better than other NN algorithms and help the user learn better and faster and has the potential of being very efficient in real-time applications.
Journal ArticleDOI
On a class of fuzzy c -numbers clustering procedures for fuzzy data
Miin-Shen Yang,Chen-Hsiu Ko +1 more
TL;DR: New types of fuzzy clustering procedures in dealing with fuzzy data are derived, called fuzzy c-numbers (FCN) clusterings, which construct these FCNs for U-type, triangular, trapezoidal and normal fuzzy numbers.
Journal ArticleDOI
A fuzzy extension of the Rand index and other related indexes for clustering and classification assessment
TL;DR: A fuzzy extension of the Rand index is introduced, able to evaluate a fuzzy partition of a data set - provided by a fuzzy clustering algorithm or a classifier with fuzzy-like outputs - against a reference hard partition that encodes the actual (known) data classes.
Journal ArticleDOI
Hyperspectral image unsupervised classification by robust manifold matrix factorization
TL;DR: This work proposes a hyperspectral image unsupervised classification framework based on robust manifold matrix factorization and its out-of-sample extension and designs a novel Augmented Lagrangian Method (ALM) based procedure to seek the local optimal solution of the proposed optimization.
Journal ArticleDOI
Unsupervised learning of a finite mixture model based on the Dirichlet distribution and its application
TL;DR: An unsupervised algorithm for learning a finite mixture model from multivariate data based on the Dirichlet distribution, which offers high flexibility for modeling data.
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.