Search Results - "KMeans clustering algorithm"

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  1. 1

    Predicting Chinese tourists’ B&B preferences through a method of online reviews causality analytic by Peng, Jun, Deng, Jun

    ISSN: 0306-4573, 1873-5371
    Published: Elsevier Ltd 01.05.2024
    Published 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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    Journal Article
  2. 2

    SunChase: Energy-Efficient Route Planning for Solar-Powered EVs by Landu Jiang, Yu Hua, Chen Ma, Xue Liu

    ISSN: 1063-6927
    Published: IEEE 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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    Conference Proceeding
  3. 3

    CLASSIFICATION OF EEG SIGNAL BY METHODS OF MACHINE LEARNING by ALYAMANI, Amina, YASNIY, Oleh

    ISSN: 1895-3735, 2353-6977
    Published: 30.12.2020
    Published 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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    Journal Article
  4. 4

    CLASSIFICATION OF EEG SIGNAL BY METHODS OF MACHINE LEARNING by Amina ALYAMANI, Oleh YASNIY

    ISSN: 1895-3735, 2353-6977
    Published: Polish Association for Knowledge Promotion 01.12.2020
    Published 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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    Journal Article
  5. 5

    Holographic Subsurface Imaging with Variance Weighted Canopy-Kmeans Clutter Suppression Method by Liang, Guangxiong, Tang, Zhiling

    ISSN: 2643-4687
    Published: IEEE 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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    Conference Proceeding
  6. 6

    Vergence Variability: A Key to Understanding Oculomotor Adaptability? by Petrock, Anne Marie, Reisman, S., Alvarez, T.

    ISBN: 9781424400324, 1424400325
    ISSN: 1557-170X
    Published: United States IEEE 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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    Conference Proceeding Journal Article