Results 31 to 40 of about 589,029 (277)
Life, 2021 Despite the scRNA-seq analytic algorithms developed, their performance for cell clustering cannot be quantified due to the unknown “true” clusters.
Yunhe Liu +5 more
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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
doaj
A Review of Quantum-Inspired Metaheuristic Algorithms for Automatic Clustering
Mathematics, 2023 In real-world scenarios, identifying the optimal number of clusters in a dataset is a difficult task due to insufficient knowledge. Therefore, the indispensability of sophisticated automatic clustering algorithms for this purpose has been contemplated by
Alokananda Dey +7 more
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A Short Survey on Data Clustering Algorithms
, 2015 With rapidly increasing data, clustering algorithms are important tools for data analytics in modern research. They have been successfully applied to a wide range of domains; for instance, bioinformatics, speech recognition, and financial analysis ...
Wong, Ka-Chun
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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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Survey of Clustering Algorithms [PDF]
IEEE Transactions on Neural Networks, 2005 Data analysis plays an indispensable role for understanding various phenomena. Cluster analysis, primitive exploration with little or no prior knowledge, consists of research developed across a wide variety of communities. The diversity, on one hand, equips us with many tools. On the other hand, the profusion of options causes confusion.
Rui, Xu, Donald, Wunsch
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Co-regularized weighting multiview clustering
Journal of Algorithms & Computational Technology, 2017 This paper deals with clustering for multiview data. Multiview clustering has been a research hot spot in many domains or applications, such as information retrieval, biology, chemistry, and marketing.
Cong-Zhe You, Xiao-Jun Wu
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Replica-exchange cluster algorithm [PDF]
Proceedings of The XXVII International Symposium on Lattice Field Theory — PoS(LAT2009), 2010 7 pages, 5 figures, presented at The XXVII International Symposium on Lattice Field Theory, July 26-31 2009, Peking University, Beijing ...
Janke, Wolfhard, Bittner, Elmar
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Predicting Heart Disease Using Collaborative Clustering and Ensemble Learning Techniques
Applied Sciences, 2023 Different data types are frequently included in clinical data. Applying machine learning algorithms to mixed data can be difficult and impact the output accuracy and quality.
Amna Al-Sayed +2 more
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Multicanonical cluster algorithm
Nuclear Physics B - Proceedings Supplements, 1993 4 pages, 4 ps-figures, LATTICE '92 contribution. Latex, uses espcrc2.sty (available from hep-lat, use Subj: get espcrc2.sty).
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