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Pattern Recognition with Fuzzy Objective Function Algorithms
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Citations
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Journal ArticleDOI
Multilayer perceptron, fuzzy sets, and classification
Sankar K. Pal,Sushmita Mitra +1 more
TL;DR: A fuzzy neural network model based on the multilayer perceptron, using the backpropagation algorithm, and capable of fuzzy classification of patterns is described, and the results are compared with those of the conventional MLP, the Bayes classifier, and other related models.
Journal ArticleDOI
Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation
TL;DR: By incorporating local spatial and gray information together, a novel fast and robust FCM framework for image segmentation, i.e., fast generalized fuzzy c-means (FGFCM) clustering algorithms, is proposed and can mitigate the disadvantages of FCM_S and at the same time enhances the clustering performance.
Journal ArticleDOI
Genetic network inference: from co-expression clustering to reverse engineering.
TL;DR: It is concluded that the combination of predictive modeling with systematic experimental verification will be required to gain a deeper insight into living organisms, therapeutic targeting and bioengineering.
Journal ArticleDOI
A Robust Fuzzy Local Information C-Means Clustering Algorithm
TL;DR: A variation of fuzzy c-means (FCM) algorithm that provides image clustering that incorporates the local spatial information and gray level information in a novel fuzzy way, called fuzzy local information C-Means (FLICM).
Створення порталу інформаційно-довідкових ресурсів міністерства освіти і науки україни
TL;DR: Premises of creation of Internet portal designed to provide access to participants of educational and scientific process for the joint creation, consolidation, concentration and rapid spreading of educationaland scientific information resources in its own depository are considered.
References
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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.