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Pattern Recognition with Fuzzy Objective Function Algorithms
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Citations
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Two soft relatives of learning vector quantization
James C. Bezdek,Nikhil R. Pal +1 more
TL;DR: It is shown that SCS learning rates can be interpreted in terms of statistical decision theory, and several relationships between SCS and FLVQ are derived, which shows that the learning rates of these two algorithms have opposite tendencies.
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Implementation of an Evolving Fuzzy Model (eFuMo) in a Monitoring System for a Waste-Water Treatment Process
TL;DR: The idea of using an evolving method as a base for the fault-detection/monitoring system is tested and the results indicate the potential improvement of the WWTP's control during a sensor malfunction.
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Fractional Particle Swarm Optimization in Multidimensional Search Space
TL;DR: The fractional global best formation (FGBF) technique is proposed, which basically collects all the best dimensional components and fractionally creates an artificial global best (aGB) particle that has the potential to be a better ¿guide¿ than the PSO's native gbest particle.
Journal ArticleDOI
A fuzzy algorithm for color quantization of images
D. Ozdemir,Lale Akarun +1 more
TL;DR: It is shown that the fuzzy membership paradigm is particularly suited to color quantization, where color cluster boundaries are not well defined, and a new fuzzycolor quantization technique is proposed which incorporates a term for partition index.
Proceedings ArticleDOI
A split-and-merge segmentation algorithm for line extraction in 2D range images
Geovany A. Borges,M.-J. Aldon +1 more
TL;DR: A segmentation method for line extraction in 2D range images using a prototype-based fuzzy clustering algorithm in a split-and-merge framework that aims to be used in mobile robots navigation systems for dynamic map building.
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.