Results 21 to 30 of about 589,029 (277)
BinChill: A Metagenomic Binning Ensemble Method
IEEE Access, 2023 The goal of metagenomic binning is to reconstruct genomes from a mixture of DNA sequences into genomic bins, which can be considered a clustering task.
Oliver S. Bak +4 more
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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
A.P. Dempster +8 more
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Multimodal decision-level fusion for person authentication [PDF]
, 1999 In this paper, the use of clustering algorithms for decision-level data fusion is proposed. Person authentication results coming from several modalities (e.g., still image, speech), are combined by using fuzzy k-means (FKM), fuzzy vector quantization ...
Bors, A.G., Chatzis, V., Pitas, I.
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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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Scalable Clustering Algorithms for Big Data: A Review
IEEE Access, 2021 Clustering algorithms have become one of the most critical research areas in multiple domains, especially data mining. However, with the massive growth of big data applications in the cloud world, these applications face many challenges and difficulties.
Mahmoud A. Mahdi +2 more
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Pattern classification using a linear associative memory [PDF]
, 1989 Pattern classification is a very important image processing task. A typical pattern classification algorithm can be broken into two parts; first, the pattern features are extracted and, second, these features are compared with a stored set of reference ...
Eichmann, George, Kasparis, Takis
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Fermion cluster algorithms [PDF]
Nuclear Physics B - Proceedings Supplements, 2000 LATTICE99 (algorithms & Machines), 3 pages, 4 eps figures, espcrc2 ...
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, 2015 Collimated streams of particles produced in high energy physics experiments are organized using clustering algorithms to form jets. To construct jets, the experimental collaborations based at the Large Hadron Collider (LHC) primarily use agglomerative ...
Mackey, Lester +3 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 ...
Xia, Weiguo, Cao, Ming
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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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