Results 31 to 40 of about 55,867 (209)
Fuzzy Clustering Algorithm with Histogram Based Initialization for Remotely Sensed Imagery
Advances in Electrical and Electronic Engineering, 2020 The paper presents histogram-based initialzation of Fuzzy C Means (FCM) clustering algorithm for remote sensing image analysis. The drawback of well known FCM clustering is sensitive to the choice of initial cluster centers.
Deepa Sharma, Jyoti Singhai
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Journal of Mathematical Analysis and Applications, 1986 This paper presents properties of classical or generalized partitions. First of all, fuzzy binary relations are defined on a finite set, satisfying an extension of the transitivity property and associated with a distance. Characterizations of such relations by matricial properties are given.
Bouchon, Bernadette, Cohen, Gérard
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'Schwinger Model' on the Fuzzy Sphere [PDF]
, 2010 In this paper, we construct a model of spinor fields interacting with specific gauge fields on fuzzy sphere and analyze the chiral symmetry of this 'Schwinger model'. In constructing the theory of gauge fields interacting with spinors on fuzzy sphere, we
Balachandran A. P. +14 more
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Assessment of Heart Disease using Fuzzy Classification Techniques
The Scientific World Journal, 2001 In this paper we discuss the classification results of cardiac patients of ischemical cardiopathy, valvular heart disease, and arterial hypertension, based on 19 characteristics (descriptors) including ECHO data, effort testings, and age and weight.
Horia F. Pop, Tudor L. Pop, Costel Sarbu
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Information, 2022 In this research, we propose a GIS-based framework implementing a fuzzy-based document classification method aimed at classifying urban areas by the type of criticality inherent or specific problems highlighted by citizens.
Barbara Cardone, Ferdinando Di Martino
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Localization for Yang-Mills Theory on the Fuzzy Sphere
, 2007 We present a new model for Yang-Mills theory on the fuzzy sphere in which the configuration space of gauge fields is given by a coadjoint orbit. In the classical limit it reduces to ordinary Yang-Mills theory on the sphere.
B.E. Rusakov +40 more
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Median evidential c-means algorithm and its application to community detection [PDF]
, 2015 Median clustering is of great value for partitioning relational data. In this paper, a new prototype-based clustering method, called Median Evidential C-Means (MECM), which is an extension of median c-means and median fuzzy c-means on the theoretical ...
Liu, Zhun-Ga +3 more
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InformationAnalyzing the uncertainty of outcomes based on estimates of the data’s membership degrees to fuzzy sets is essential for making decisions. These fuzzy sets are often designated by experts as strong fuzzy partitions of the data domain with trapezoidal ...
Barbara Cardone, Ferdinando Di Martino
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An outlier–robust neuro–fuzzy system for classification and regression
International Journal of Applied Mathematics and Computer Science, 2021 Real life data often suffer from non-informative objects—outliers. These are objects that are not typical in a dataset and can significantly decline the efficacy of fuzzy models.
Siminski Krzysztof
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Semantic Information G Theory and Logical Bayesian Inference for Machine Learning [PDF]
, 2019 An important problem with machine learning is that when label number n\u3e2, it is very difficult to construct and optimize a group of learning functions, and we wish that optimized learning functions are still useful when prior distribution P(x) (where ...
Lu, Chenguang
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