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Incremental Fuzzy Clustering Based on Feature Reduction
Journal of Electrical and Computer Engineering, 2022 In the era of big data, more and more datasets are gradually beyond the application scope of traditional clustering algorithms because of their large scale and high dimensions.
Yongli Liu, Yajun Zhang, Hao Chao
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SACOC: A spectral-based ACO clustering algorithm [PDF]
, 2014 The application of ACO-based algorithms in data mining is growing over the last few years and several supervised and unsupervised learning algorithms have been developed using this bio-inspired approach. Most recent works concerning unsupervised learning
Otero, Fernando E. B. +7 more
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Influence of clustering coefficient on network embedding in link prediction
Applied Network Science, 2022 Multiple network embedding algorithms have been proposed to perform the prediction of missing or future links in complex networks. However, we lack the understanding of how network topology affects their performance, or which algorithms are more likely ...
Omar F. Robledo +3 more
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Applied Sciences, 2022 Metaheuristic algorithms have been hybridized with the standard K-means to address the latter’s challenges in finding a solution to automatic clustering problems.
Abiodun M. Ikotun, Absalom E. Ezugwu
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MACOC: a medoid-based ACO clustering algorithm [PDF]
, 2014 The application of ACO-based algorithms in data mining is growing over the last few years and several supervised and unsupervised learning algorithms have been developed using this bio-inspired approach. Most recent works concerning unsupervised learning
Otero, Fernando E. B. +7 more
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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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Multibondic cluster algorithm [PDF]
Nuclear Physics B - Proceedings Supplements, 1995 3 pages, uuencoded compressed postscript file, contribution to the LATTICE'94 ...
Janke, Wolfhard, Kappler, Stefan
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An Overview of the Concepts, Classifications, and Methods of Population Initialization in Metaheuristic Algorithms [PDF]
Journal of Advances in Computer Engineering and Technology, 2021 Metaheuristic algorithms are typically population-based random search techniques. The general framework of a metaheuristic algorithm consisting of its main parts.
Mohammad Hassanzadeh, farshid keynia
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Incremental fuzzy C medoids clustering of time series data using dynamic time warping distance. [PDF]
PLoS ONE, 2018 Clustering time series data is of great significance since it could extract meaningful statistics and other characteristics. Especially in biomedical engineering, outstanding clustering algorithms for time series may help improve the health level of ...
Yongli Liu +4 more
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Clustering Affine Subspaces: Algorithms and Hardness [PDF]
, 2012 We study a generalization of the famous k-center problem where each object is an affine subspace of dimension Δ, and give either the first or significantly improved algorithms and hardness results for many combinations of parameters.
Lee, Euiwoong
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