An Improved Three-Way Clustering Based on Ensemble Strategy
Mathematics, 2022 As a powerful data analysis technique, clustering plays an important role in data mining. Traditional hard clustering uses one set with a crisp boundary to represent a cluster, which cannot solve the problem of inaccurate decision-making caused by ...
Tingfeng Wu, Jiachen Fan, Pingxin Wang
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Improved Nearest Neighbor Absorption First Clustering Algorithm for Massive Data [PDF]
Jisuanji gongcheng, 2018 Aiming at the problem that the Nearest Neighbor Absorption First(NNAF) clustering algorithm is difficult to be applied in the massive data clustering process,an improved algorithm is proposed based on MapReduce.By introducing MapReduce parallel ...
NING Ke,SUN Tongjing,XU Jiejie
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Fast Graph Clustering Algorithm Based on Selection of Key Nodes
Jisuanji kexue yu tansuo, 2021 Spectral clustering has attracted extensive attention as a typical graph clustering algorithm among clustering algorithms since it has really strong adaptability to complex data distribution and great clustering effect.
YOU Fangzhou, BAI Liang
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Study on Affinity Propagation Clustering Algorithm Based on Bacterial Flora Optimization [PDF]
Jisuanji kexue, 2022 In order to improve the clustering performance of the nearest neighbor propagation clustering algorithm,the flora algorithm is used to optimize the parameters of the nearest neighbor propagation bias.Firstly,the similarity matrix is established according
ZHANG Yu-jiao, HUANG Rui, ZHANG Fu-quan, SUI Dong, ZHANG Hu
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Self-adaptive GA, quantitative semantic similarity measures and ontology-based text clustering [PDF]
, 2008 As the common clustering algorithms use vector space model (VSM) to represent document, the conceptual relationships between related terms which do not co-occur literally are ignored.
Wei Yu +7 more
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An efficient approach based on differential evolution algorithm for data clustering [PDF]
Decision Science Letters, 2014 Clustering plays an essential role for data analysis and it has been widely used in different fields like data mining, machine learning and pattern recognition.
Maryam Hosseini +2 more
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A Density Peaking Clustering Algorithm for Differential Privacy Preservation
IEEE Access, 2023 The privacy protection problem in data mining has received increasingly attention and is a hot topic of current research. To address the problems of large accuracy loss and instability of clustering results of clustering algorithms under differential ...
Hua Chen +5 more
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Neutrosophic Clustering Algorithm Based on Sparse Regular Term Constraint
Complexity, 2021 Clustering algorithm is one of the important research topics in the field of machine learning. Neutrosophic clustering is the generalization of fuzzy clustering and has been applied to many fields.
Dan Zhang +3 more
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A niching memetic algorithm for simultaneous clustering and feature selection [PDF]
, 2008 Clustering is inherently a difficult task, and is made even more difficult when the selection of relevant features is also an issue. In this paper we propose an approach for simultaneous clustering and feature selection using a niching memetic algorithm.
Liu, X, Sheng, W, Fairhurst, M
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Graph Clustering Algorithm Based on Node Clustering Complexity [PDF]
Jisuanji kexue, 2023 Graph clustering is an important task in the analysis of complex networks,which can reveal the community structure within a network.However,clustering complexity of nodes varies throughout the network.To address this issue,a graph clustering algorithm ...
ZHENG Wenping, WANG Fumin, LIU Meilin, YANG Gui
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