Results 31 to 40 of about 2,690,463 (245)
KM-FCM: A fuzzy clustering optimization algorithm based on Mahalanobis distance
Journal of Hebei University of Science and Technology, 2018 The traditional fuzzy clustering algorithm uses Euclidean distance as the similarity criterion, which is disadvantageous to the multidimensional data processing.
Zhiwen ZU, Qin LI
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Arbitrary Shape Clustering Algorithm Based on Hierarchy and Density [PDF]
Jisuanji gongcheng, 2016 Based on the hierarchical clustering algorithm and density clustering algorithm,a novel arbitrary shape clustering algorithm is proposed.In this algorithm,the dataset is divided into a large number of initial sub-clusters by finding the initial ...
XU Heli,NIU Lijun
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Cluster synchronization algorithms
Proceedings of the 2010 American Control Conference, 2010 This paper presents two approaches to achieving cluster synchronization in dynamical multi-agent systems. In contrast to the widely studied synchronization behavior, where all the coupled agents converge to the same value asymptotically, in the cluster synchronization problem studied in this paper, we require that all the interconnected agents to ...
Weiguo Xia, Ming Cao 0001
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Differential evolution-based transfer rough clustering algorithm
Complex & Intelligent Systems, 2023 Due to well processing the uncertainty in data, rough clustering methods have been successfully applied in many fields. However, when the capacity of the available data is limited or the data are disturbed by noise, the rough clustering algorithms always
Feng Zhao, Chaofei Wang, Hanqiang Liu
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An improved fuzzy clustering image segmentation algorithm combining spatial information
Xi'an Gongcheng Daxue xuebao, 2021 In order to improve the ability of fuzzy C-means (FCM) clustering algorithm to suppress noise, an improved fuzzy clustering image segmentation algorithm was proposed.
Xudong LIU +4 more
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Journal of Intelligent Systems, 2018 The progress of databases in fields such as medical, business, education, marketing, etc., is colossal because of the developments in information technology. Knowledge discovery from such concealed bulk databases is a tedious task.
Chander Satish +2 more
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Ensemble Clustering Algorithm Based on Weighted Super Cluster
Jisuanji kexue yu tansuo, 2021 Most ensemble clustering algorithms use K-means to generate base clustering, but the result of base clustering is not good. And most ensemble clustering algorithms ignore the diversity of base clustering, treat base clustering equally, and generate the ...
XUE Hongyan, QIAN Xuezhong, ZHOU Shibing
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Complexity, 2021 To better reflect the precise clustering results of the data samples with different shapes and densities for affinity propagation clustering algorithm (AP), an improved integrated clustering learning strategy based on three-stage affinity propagation ...
Limin Wang +6 more
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A Weighted Sum Validity Function for Clustering with a Hybrid Niching Genetic Algorithm [PDF]
, 2005 Clustering is inherently a difficult problem, both with respect to the construction of adequate objective functions as well as to the optimization of the objective functions.
Liu, X +11 more
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Document clustering using sample weighting [PDF]
, 2007 Clustering algorithm based on Sample weighting has been noticed recently. In this paper, a novel sample weighting clustering algorithm is presented based on K-Means and fuzzy C-Means algorithm.
Su, Xinning +2 more
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