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Pattern Recognition with Fuzzy Objective Function Algorithms
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Citations
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Gradual Molding of the Hand to Object Contours
Marco Santello,John F. Soechting +1 more
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Fuzzy and possibilistic shell clustering algorithms and their application to boundary detection and surface approximation. II
TL;DR: Unsupervised clustering algorithms are described that use the surface density measure and other measures to determine the optimum number of shell clusters automatically, and it is shown through theoretical derivations that surface density is relatively invariant to size and partiality of the clusters.
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Building the fundamentals of granular computing: A principle of justifiable granularity
TL;DR: The study introduces and discusses a principle of justifiable granularity, which supports a coherent way of designing information granules in presence of experimental evidence (either of numerical or granular character).
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Global isoscapes for δ 18 O and δ 2 H in precipitation: improved prediction using regionalized climatic regression models
TL;DR: A regionalized cluster-based water isotope prediction (RCWIP) approach, based on the Global Network of Isotopes in Precipitation (GNIP), was demonstrated for the purposes of predicting point and large-scale spatio-temporal patterns of the stable isotope composition (δ2H, δ18O) of precipitation around the world as discussed by the authors.
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Rule-base self-generation and simplification for data-driven fuzzy models
Min-You Chen,Derek A. Linkens +1 more
TL;DR: A rule-base self-extraction and simplification method is proposed to establish interpretable fuzzy models from numerical data and some approximate similarity measures are presented and a parameter fine-tuning mechanism is introduced to improve the accuracy of the simplified model.
References
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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.