Results 11 to 20 of about 2,690,463 (245)
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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Ensemble clustering via heuristic optimisation [PDF]
, 2010 This thesis was submitted for the degree of Doctor of Philosophy and was awarded by Brunel UniversityTraditional clustering algorithms have different criteria and biases, and there is no single algorithm that can be the best solution for a wide range of ...
Li, Jian
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IEEE Access, 2021 In order to improve the global search ability of K-means algorithm and the clustering effect, a K-means method based on the approximate backbone and the shuffled frog leaping algorithm was proposed.
Weiping Ding +3 more
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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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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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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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