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Pattern Recognition with Fuzzy Objective Function Algorithms
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Citations
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Improving Mass Transit Operations by Using AVL-Based Systems: A Survey
TL;DR: This paper presents a comprehensive review on AVL-based evaluation techniques of the schedule plan (SP) reliability, discussing the existing metrics and presents a brief review on improving the network definition based on historical location-based data.
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Learning Weights in the Generalized OWA Operators
TL;DR: This paper discusses identification of parameters of generalized ordered weighted averaging (GOWA) operators from empirical data and develops optimization techniques which allow one to fit such operators to the observed data.
Journal ArticleDOI
Clustering Spatiotemporal Data: An Augmented Fuzzy C-Means
TL;DR: This study revisit and augment the objective function-based clustering algorithm to make it applicable to spatiotemporal data, and introduces two optimization criteria, i.e., a reconstruction error and a prediction error, that are introduced and used as a vehicle to optimize the performance of the clustering method.
Journal ArticleDOI
A hierarchical stochastic model of large‐scale atmospheric circulation patterns and multiple station daily precipitation
TL;DR: In this article, a stochastic model of weather states and concurrent daily precipitation at multiple precipitation stations is described, and four algorithms are investigated for classification of daily weather states: k-means clustering, fuzzy clustering and principal components coupled with k-mean clustering.
Journal ArticleDOI
Secondary contact between Lycaeides idas and L. melissa in the Rocky Mountains: extensive admixture and a patchy hybrid zone
TL;DR: It is found no evidence that hybridization in the Rocky Mountains has resulted in the formation of independent hybrid species, in contrast to the outcome of hybridization between L. idas and L. melissa in the Sierra Nevada, and the structure of the Lycaeides hybrid zone might be best explained by the patchy distribution of LyCaeides, local extinction and colonization of habitat patches, environmental variation and weak overall selection against hybrids.
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.