An Improved Deep Clustering Model for Underwater Acoustical Targets
Sign Up to like & getrecommendations! Published in 2017 at "Neural Processing Letters"
DOI: 10.1007/s11063-017-9755-7
Abstract: Hand-craft features and clustering algorithms constitute the main parts of the unsupervised clustering system. Performance of the clustering deteriorates when the assumed probabilistic distribution of the data differs from the true one. This paper introduces… read more here.
Keywords: deep clustering; underwater acoustical; model; clustering model ... See more keywords
A Novelty of Hypergraph Clustering Model (HGCM) for Urban Scenario in VANET
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3185075
Abstract: A vehicular ad hoc network is a dynamic and constantly changing topology that requires reliable clustering to prevent connection failure. A stable cluster head (CH) prevents packet delay (PD) and maintains high throughput in the… read more here.
Keywords: network; scenario; model; vehicle ... See more keywords
Application of the Clustering Model to Time-Correlated Oxide Breakdown Events in Multilevel Antifuse Memory Cells
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Electron Device Letters"
DOI: 10.1109/led.2020.3033709
Abstract: Time statistics for successive breakdown (BD) events in Al2O3/HfO2-based nanolaminates aimed to the development of multilevel one-time programmable (OTP) memory cells is investigated. The clustering model is shown to account for the departure of the… read more here.
Keywords: clustering model; time; sub sub; breakdown events ... See more keywords
Simultaneous Clustering and Model Selection: Algorithm, Theory and Applications
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2017.2739147
Abstract: While clustering has been well studied in the past decade, model selection has drawn much less attention due to the difficulty of the problem. In this paper, we address both problems in a joint manner… read more here.
Keywords: model; model selection; simultaneous clustering; clustering model ... See more keywords
Topology: A Theory of a Pseudometric-Based Clustering Model and Its Application in Content-Based Image Retrieval
Sign Up to like & getrecommendations! Published in 2019 at "Mathematical Problems in Engineering"
DOI: 10.1155/2019/4540731
Abstract: The clustering problem has been extensively studied over the last 50 years; however, it still has the attention of researchers. This paper presents a topological basis of a pseudometric-based clustering model which takes into account… read more here.
Keywords: image; pseudometric based; group; topology ... See more keywords
Application of Fuzzy Clustering Model in the Classification of Sports Training Movements
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/4308283
Abstract: In order to accurately analyze the movements of sports training using artificial intelligence techniques, an improved fuzzy clustering model is proposed in this study. The fuzzy C-means is used to granulate the multilabel space, and… read more here.
Keywords: classification; sports training; fuzzy clustering; clustering model ... See more keywords
An Earthquake-Clustering Model in North Aegean Area (Greece)
Sign Up to like & getrecommendations! Published in 2022 at "Axioms"
DOI: 10.3390/axioms11060249
Abstract: The investigation of short-term earthquake-clustering features is made feasible through the application of a purely stochastic Epidemic-Type Aftershock Sequence (ETAS) model. The learning period that is used for the estimation of the parameters is composed… read more here.
Keywords: earthquake clustering; north aegean; model; model north ... See more keywords