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
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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
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
Sign Up to like & getrecommendations! Published in 2018 at "Fuzzy Optimization and Decision Making"
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
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Ambient Intelligence and Humanized Computing"
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
A Novel Intuitionistic Fuzzy Clustering Algorithm Based on Feature Selection for Multiple Object Tracking
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DOI: 10.1007/s40815-019-00645-7
Abstract: In this paper, a novel intuitionistic fuzzy clustering algorithm based on feature selection (IFC-FS) for multiple object tracking is proposed. In the proposed algorithm, the neighborhood rough set is used to achieve the adaptive selection… read more here.
Keywords: fuzzy clustering; intuitionistic fuzzy; novel intuitionistic; multiple object ... See more keywords
Gaussian Collaborative Fuzzy C-Means Clustering
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DOI: 10.1007/s40815-021-01090-1
Abstract: For most FCM-based fuzzy clustering algorithms, several problems, such as noise, non-spherical clusters, and size-imbalanced clusters, are difficult to solve. Different fuzzy clustering algorithms are developed to deal with these problems from different perspectives. However,… read more here.
Keywords: gaussian collaborative; fuzzy clustering; collaborative fuzzy; fuzzy ... See more keywords
IVUS images segmentation using spatial fuzzy clustering and hierarchical level set evolution
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DOI: 10.1016/j.compbiomed.2019.04.029
Abstract: The detection of the lumen and media-adventitia (MA) borders in intravascular ultrasound (IVUS) images is crucial for quantifying plaque burdens. The challenge of the segmentation work mainly roots in various artifacts in the image. Most… read more here.
Keywords: fuzzy clustering; ivus images; level set; set evolution ... See more keywords