Fuzzy clustering of univariate and multivariate time series by genetic multiobjective optimization [PDF]
Given a set of time series, it is of interest to discover subsets that share similar properties. For instance, this may be useful for identifying and estimating a single model that may fit conveniently several time series, instead of performing the usual
S. Bandyopadhyay, R. Baragona, U. Maulik
core
Anchor-guided multi-view fuzzy clustering for hyperspectral and LiDAR images. [PDF]
Sci RepXiao L, Liu S, Liu Y.
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Application of Fuzzy Clustering Model in the Classification of Sports Training Movements. [PDF]
Comput Intell Neurosci, 2022 Song B.
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A hybrid deep fuzzy clustering framework with fusion-based learning for robust SAR change detection. [PDF]
Sci RepGhosh C, Majumdar D, Mondal B.
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Fuzzy-clustering and fuzzy network based interpretable fuzzy model for prediction. [PDF]
Sci Rep, 2022 Wang X, Chen Y, Jin J, Zhang B.
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Prediction of Coal Spontaneous Combustion Risk under Poor Oxygen Concentration Based on Fuzzy Clustering and Lattice Tightness. [PDF]
ACS OmegaGao D +5 more
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College Students' Mental Health Support Based on Fuzzy Clustering Algorithm. [PDF]
Contrast Media Mol Imaging, 2022 Xu Z.
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Combining multifaceted aspects of technology innovations through fuzzy clustering of multilayer networks. [PDF]
PLoS OneCerqueti R +3 more
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An efficient prediction based data collection method for wireless sensor networks using hybrid fuzzy clustering and optimized deep maxout neural networks. [PDF]
Sci RepPadmini Devi B +3 more
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Delineating soil fertility management zones using geostatistics and fuzzy clustering in semi-arid maize systems in India. [PDF]
Environ Monit AssessBhagwan PV +6 more
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