Výsledky vyhľadávania - "Gath–Geva clustering algorithm"
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Roller bearing fault diagnosis using stacked denoising autoencoder in deep learning and Gath–Geva clustering algorithm without principal component analysis and data label
ISSN: 1568-4946, 1872-9681Vydavateľské údaje: Elsevier B.V 01.12.2018Vydané v Applied soft computing (01.12.2018)“…Most deep learning models such as stacked autoencoder (SAE) and stacked denoising autoencoder (SDAE) are used for fault diagnosis with a data label. These…”
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A possibilistic fuzzy Gath-Geva clustering algorithm using the exponential distance
ISSN: 0957-4174, 1873-6793Vydavateľské údaje: New York Elsevier Ltd 01.12.2021Vydané v Expert systems with applications (01.12.2021)“…[Display omitted] •Propose PFGG clustering algorithm.•PFGG uses the exponential distance in contrast to PFCM.•PFGG clusters the dataset containing noisy data…”
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Determination of apple varieties by near infrared reflectance spectroscopy coupled with improved possibilistic Gath–Geva clustering algorithm
ISSN: 0145-8892, 1745-4549Vydavateľské údaje: 01.08.2020Vydané v Journal of food processing and preservation (01.08.2020)“…Apple, as an important agricultural product, has extremely high nutritional value. In order to distinguish apple varieties quickly, accurately, and…”
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Gath-Geva clustering algorithm for high performance computing (HPC) monitoring
Vydavateľské údaje: IEEE 01.10.2019Vydané v 2019 Third International Conference on Intelligent Computing in Data Sciences (ICDS) (01.10.2019)“… This work focuses on the employment of Gath-Geva clustering algorithm to identify applications and their behavioural similarities while running on HPC system…”
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Implementation of the Gath-Geva Clustering Algorithm in the Clustering Districts/Cities in Central Sulawesi Based on Public Health Development Indicators
ISBN: 9464632275, 9789464632279Získať plný textVydavateľské údaje: The Netherlands Atlantis Press (Zeger Karssen) 2023
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Improved Gath–Geva clustering for fuzzy segmentation of hydrometeorological time series
ISSN: 1436-3240, 1436-3259Vydavateľské údaje: Berlin/Heidelberg Springer-Verlag 01.01.2012Vydané v Stochastic environmental research and risk assessment (01.01.2012)“…In this paper, an improved Gath–Geva clustering algorithm is proposed for automatic fuzzy segmentation of univariate and multivariate hydrometeorological time series…”
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Patterns of Pupillary Activity During Binocular Disparity Resolution
ISSN: 1664-2295, 1664-2295Vydavateľské údaje: Switzerland Frontiers Media S.A 26.11.2018Vydané v Frontiers in neurology (26.11.2018)“…This study examined the dynamic coordination between disconjugate, vergence eye movements, and pupil size in 52 normal subjects during binocular disparity…”
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Novelty Detection for Iterative Learning of MIMO Fuzzy Systems
Vydavateľské údaje: IEEE 21.07.2021Vydané v 2021 IEEE 19th International Conference on Industrial Informatics (INDIN) (21.07.2021)“… detection and similarity criteria defined by a recursive extension of the Gath-Geva clustering algorithm…”
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Image retrieval based on swarm intelligence
ISSN: 2088-8708, 2722-2578, 2088-8708Vydavateľské údaje: Yogyakarta IAES Institute of Advanced Engineering and Science 01.12.2021Vydané v International journal of electrical and computer engineering (Malacca, Malacca) (01.12.2021)“…To keep pace with the development of modern technology in this information technology era, and the immense image databases, whether personal or commercial, are…”
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Recursive Gath–Geva clustering as a basis for evolving neuro-fuzzy modeling
ISSN: 1868-6478, 1868-6486Vydavateľské údaje: Berlin/Heidelberg Springer-Verlag 01.08.2010Vydané v Evolving systems (01.08.2010)“…–Geva clustering algorithm, which is capable of constructing elliptical clusters as well…”
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Soft sensor design for a Sulfur Recovery Unit using a clustering based approach
ISBN: 9781424415403, 1424415403ISSN: 1091-5281Vydavateľské údaje: IEEE 01.05.2008Vydané v 2008 IEEE Instrumentation and Measurement Technology Conference (01.05.2008)“… It is based on the minimization of the cost function of a Gath Geva clustering algorithm. The obtained soft sensor will be implemented in a refinery in order to replace…”
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A New Fuzzy Possibility Clustering Algorithms Based on Unsupervised Mahalanobis Distances
ISBN: 1424409721, 9781424409723ISSN: 2160-133XVydavateľské údaje: IEEE 01.08.2007Vydané v 2007 International Conference on Machine Learning and Cybernetics (01.08.2007)“… spherical structural clusters. Gustafson-Kessel clustering algorithm and Gath-Geva clustering algorithm, were developed to detect non-spherical structural clusters, but both of them based on semi-supervised Mahalanobis distance…”
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Fuzzy C-Means Algorithm Based on Standard Mahalanobis Distances
ISBN: 9525726029, 9789525726022Vydavateľské údaje: Oulu Academy Publisher 01.01.2009Vydané v Proceedings. The 2009 International Symposium on Information Processing (ISIP 2009) (01.01.2009)Získať plný text
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EHM-Based Web Pages Fuzzy Clustering Algorithm
ISBN: 9780769527772, 0769527779Vydavateľské údaje: IEEE 01.04.2007Vydané v 2007 International Conference on Multimedia and Ubiquitous Engineering : proceedings : MUE 2007 : 26-28 April, 2007, Seoul, Korea (01.04.2007)“…Recently various clustering approaches have been developed for Web pages clustering optimization. Most of them take the vector model as their free-text…”
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Recursive Gath-Geva clustering as a basis for evolving neuro-fuzzy modeling
ISBN: 1424469198, 9781424469192ISSN: 1098-7584Vydavateľské údaje: IEEE 01.07.2010Vydané v International Conference on Fuzzy Systems (01.07.2010)“…A recursive extension of Gath-Geva clustering algorithm is proposed in this paper which is used as a basis for online tuning and development of neuro-fuzzy models…”
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Speaker specific feature based clustering and its applications in language independent forensic speaker recognition
ISSN: 2088-8708, 2722-2578, 2088-8708Vydavateľské údaje: Yogyakarta IAES Institute of Advanced Engineering and Science 01.08.2020Vydané v International journal of electrical and computer engineering (Malacca, Malacca) (01.08.2020)“…Forensic speaker recognition (FSR) is the process of determining whether the source of a questioned voice recording (trace) is a specific individual (suspected…”
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