Suchergebnisse - "Kmeans clustering algorithm"
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Predicting Chinese tourists’ B&B preferences through a method of online reviews causality analytic
ISSN: 0306-4573, 1873-5371Veröffentlicht: Elsevier Ltd 01.05.2024Veröffentlicht in Information processing & management (01.05.2024)“… •Comprehensive and logical travelers’ preferences information can more effectively assist the Chinese B&B enterprises on the operation and management …”
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SunChase: Energy-Efficient Route Planning for Solar-Powered EVs
ISSN: 1063-6927Veröffentlicht: IEEE 01.06.2017Veröffentlicht in Proceedings of the International Conference on Distributed Computing Systems (01.06.2017)“… To address this, we propose a route planning method for solar-powered EVs to balance the energy harvesting and consumption subject to time constraint …”
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CLASSIFICATION OF EEG SIGNAL BY METHODS OF MACHINE LEARNING
ISSN: 1895-3735, 2353-6977Veröffentlicht: 30.12.2020Veröffentlicht in Applied Computer Science (Lublin) (30.12.2020)“… ), multilayer perceptron (MLP), K-nearest neighbours (kNN), and support vector machines (SVM). Since the data were imbalanced, the appropriate balancing was performed by Kmeans clustering algorithm …”
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CLASSIFICATION OF EEG SIGNAL BY METHODS OF MACHINE LEARNING
ISSN: 1895-3735, 2353-6977Veröffentlicht: Polish Association for Knowledge Promotion 01.12.2020Veröffentlicht in Applied Computer Science (Lublin) (01.12.2020)“… ), multilayer perceptron (MLP), K-nearest neighbours (kNN), and support vector machines (SVM). Since the data were imbalanced, the appropriate balancing was performed by Kmeans clustering algorithm …”
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Holographic Subsurface Imaging with Variance Weighted Canopy-Kmeans Clutter Suppression Method
ISSN: 2643-4687Veröffentlicht: IEEE 23.10.2024Veröffentlicht in Proceedings (International Symposium on Antennas, Propagation and EM Theory. Online) (23.10.2024)“… To address these issues, this paper proposes a clutter suppression method combining the Canopy-Kmeans clustering algorithm and variance-weighted L1 norm minimization (VWLNM …”
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Vergence Variability: A Key to Understanding Oculomotor Adaptability?
ISBN: 9781424400324, 1424400325ISSN: 1557-170XVeröffentlicht: United States IEEE 2006Veröffentlicht in 2006 International Conference of the IEEE Engineering in Medicine and Biology Society (2006)“… The data were then fed through a kmeans clustering algorithm to classify each subject, with no a priori knowledge of true subject classification …”
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