Fuzzy Clustering of Circular Time Series With Applications to Wind Data
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DOI: 10.1002/env.2902
Abstract: In environmental science, practitioners often deal with data recorded sequentially along time, such as time series of wind direction or wind speed. In this context, clustering of time series is a useful tool to carry… read more here.
Keywords: time; series; circular time; clustering circular ... See more keywords
A Combined Approach to Precipitation Forecasting: Enhancing FB–Prophet With Fuzzy Clustering to Capture Sudden Changes and Seasonal Patterns in Climate Data
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DOI: 10.1002/for.70036
Abstract: Accurate precipitation prediction is vital for effective water resource management, agricultural planning, and natural disaster mitigation. Traditional forecasting methods often encounter difficulties due to the nonlinearity, complex seasonality, and noise inherent in meteorological data. This… read more here.
Keywords: approach precipitation; combined approach; fuzzy clustering; seasonal patterns ... See more keywords
Patch-based fuzzy clustering for image segmentation
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DOI: 10.1007/s00500-017-2955-2
Abstract: Fuzzy C-means has been adopted for image segmentation, but it is sensitive to noise and other image artifacts due to not considering neighbor information. In order to solve this problem, many improved algorithms have been… read more here.
Keywords: image segmentation; fuzzy clustering; patch; image ... See more keywords
A game theory-based approach to fuzzy clustering for pixel classification in remote sensing imagery
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DOI: 10.1007/s00500-020-05514-2
Abstract: One important task of analyzing remote sensing satellite imagery is to categorize the pixels according to various landcover regions. This unsupervised segmentation task can be posed as a problem of pixel intensity clustering, considering the… read more here.
Keywords: fuzzy clustering; approach; game theory; remote sensing ... See more keywords
A novel automatic image segmentation method for Chinese literati paintings using multi-view fuzzy clustering technology
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DOI: 10.1007/s00530-019-00627-7
Abstract: Under the background of contemporary cultural protection and dynamic inheritance, the interpretation and re-expression of the artistic connotations of Chinese literati paintings have become the main direction of heritage research. Digital technology and multimedia expression… read more here.
Keywords: fuzzy clustering; literati paintings; chinese literati; multi view ... See more keywords
Optimization and improvement of data mining algorithm based on efficient incremental kernel fuzzy clustering for large data
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DOI: 10.1007/s10586-018-1767-1
Abstract: The arrival of the big data era in the new century has made the traditional data mining algorithms unable to meet the requirements of big data mining in accuracy and efficiency. Therefore, a data mining… read more here.
Keywords: fuzzy clustering; incremental kernel; data mining; mining ... See more keywords
Image segmentation algorithm based on improved fuzzy clustering
Sign Up to like & getrecommendations! Published in 2018 at "Cluster Computing"
DOI: 10.1007/s10586-018-2128-9
Abstract: Fuzzy clustering algorithm is the main method of image segmentation, but it can’t be widely used in various fields. Therefore, an image segmentation algorithm based on improved fuzzy clustering was proposed in this paper. The… read more here.
Keywords: fuzzy clustering; image; segmentation algorithm; image segmentation ... See more keywords
Delineating soil fertility management zones using geostatistics and fuzzy clustering in semi-arid maize systems in India
Sign Up to like & getrecommendations! Published in 2025 at "Environmental Monitoring and Assessment"
DOI: 10.1007/s10661-025-14608-z
Abstract: This study quantified spatial variability in soil fertility attributes to delineate management zones (MZs) for site-specific nutrient management (SSNM) in a 4-ha maize field in northern Telangana, India. A total of 200 geo-referenced surface (0–15… read more here.
Keywords: soil fertility; soil; management zones; geostatistics fuzzy ... See more keywords
Exponential distance-based fuzzy clustering for interval-valued data
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DOI: 10.1007/s10700-016-9238-8
Abstract: In several real life and research situations data are collected in the form of intervals, the so called interval-valued data. In this paper a fuzzy clustering method to analyse interval-valued data is presented. In particular,… read more here.
Keywords: fuzzy clustering; interval valued; exponential distance; valued data ... See more keywords
Fuzzy clustering using multiple Gaussian kernels with optimized-parameters
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DOI: 10.1007/s10700-017-9268-x
Abstract: In this paper, we propose a new kernel-based fuzzy clustering algorithm which tries to find the best clustering results using optimal parameters of each kernel in each cluster. It is known that data with nonlinear… read more here.
Keywords: fuzzy clustering; kernel based; based fuzzy; single kernel ... See more keywords
A fuzzy clustering based method for attributed graph partitioning
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DOI: 10.1007/s12652-018-1054-2
Abstract: Graph partitioning methods in data mining have been widely used to discover protein complexes in protein–protein interaction (PPI) network. However, PPI networks with attributes need more effective attribute graph partitioning methods. Attribute graph partitioning aims… read more here.
Keywords: graph partitioning; attributed graph; fuzzy clustering; method attributed ... See more keywords