Výsledky vyhledávání - "Fuzzy c-mean (FCM) clustering algorithm"

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  1. 1

    A virtual reality physical activity pattern assessment: Mixed crossover experiments and cluster analysis Autor Zhang, Texi, Xiao, Xiaoyue, Mao, Jie

    ISSN: 2055-2076, 2055-2076
    Vydáno: London, England SAGE Publications 01.01.2023
    Vydáno v Digital health (01.01.2023)
    “…) and the Felt Arousal Scale (FAS), and the acceleration data were evaluated by clustering using the fuzzy c-mean (FCM…”
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    Journal Article
  2. 2

    Using spectral Geodesic and spatial Euclidean weights of neighbourhood pixels for hyperspectral Endmember Extraction preprocessing Autor Kowkabi, Fatemeh, Keshavarz, Ahmad

    ISSN: 0924-2716, 1872-8235
    Vydáno: Elsevier B.V 01.12.2019
    “…Spectral Mixture Analysis is one of the fundamental subjects encountered when dealing with remotely sensed hyperspectral images…”
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    Journal Article
  3. 3

    Early Sepsis Recognition Based on Ear Localization using Infrared Thermography Autor Al-Sadr, Hasanain, Popescu, Mihail, Keller, James M.

    Vydáno: IEEE 01.12.2018
    “… extremity temperature difference based on ear localization using thermal images and the fuzzy C-means (FCM…”
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    Konferenční příspěvek
  4. 4

    Investigation of Fuzzy Functions Approach and Its Possible Applications in Industrial Engineering Problems Autor Maral, Sultan

    ISBN: 9798381757347
    Vydáno: ProQuest Dissertations & Theses 01.01.2013
    “… It has been a very important research subject for many researchers and has led to new developments for many fields since it enables to handle uncertainties successfully…”
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    Dissertation
  5. 5

    Fault diagnosis of bearing based on fuzzy support vector machine Autor Haodong Ma, Yi Xiong, Hongzheng Fang, Lichao Gu

    Vydáno: IEEE 01.10.2015
    “…In rotating machinery equipment, bearing is one of the most common parts. Because of the complex working conditions, the bearing system is subject to get failure…”
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    Konferenční příspěvek
  6. 6

    Red tide algae classification using SVM-SNP and semi-supervised FCM Autor Lili Xu, Tao Jiang, Jiezhen Xie, Shaoping Zheng

    ISBN: 9781424463671, 142446367X
    ISSN: 2155-1812
    Vydáno: IEEE 01.06.2010
    “…). Secondly, those samples most likely mistakenly labeled were picked out and re-labeled by semi-supervised fuzzy c-means (FCM…”
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    Konferenční příspěvek
  7. 7

    Unsupervised fuzzy binning of metagenomic sequence fragments on three-dimensional Barnes-Hut t-Stochastic Neighbor Embeddings Autor Ariza-Jimenez, Leandro, Quintero, O. L., Pinel, Nicolas

    ISSN: 1557-170X, 2694-0604, 1558-4615, 2694-0604
    Vydáno: United States IEEE 01.07.2018
    “…Shotgun metagenomic studies attempt to reconstruct population genome sequences from complex microbial communities. In some traditional genome demarcation…”
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    Konferenční příspěvek Journal Article
  8. 8

    Unsupervised global optimization in the classification of handwritten digits and visual evoked potentials Autor Dasey, Timothy John

    ISBN: 9798207262222
    Vydáno: ProQuest Dissertations & Theses 01.01.1991
    “…) of control and Multiple Sclerosis (MS) subjects. The system is comprised of a feature extraction and clustering module, and both are trained using the combinatorial optimization routine ALOPEX…”
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    Dissertation
  9. 9

    Fully automated reconstruction of ungated ghost magnetic resonance angiograms Autor Tsaftaris, Sotirios A., Offerman, Erik, Edelman, Robert R., Koktzoglou, Ioannis

    ISSN: 1053-1807, 1522-2586, 1522-2586
    Vydáno: Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.03.2010
    Vydáno v Journal of magnetic resonance imaging (01.03.2010)
    “… K‐means and fuzzy cmeans (FCM) clustering algorithms using prominent image features were applied to automatically create angiograms of the calf in volunteers undergoing ungated ghost MRA…”
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    Journal Article
  10. 10

    Detection of multiple sclerosis with visual evoked potentials - an unsupervised computational intelligence system Autor Dasey, T.J., Micheli-Tzanakou, E.

    ISSN: 1089-7771, 1558-0032
    Vydáno: United States IEEE 01.09.2000
    “…This paper describes the application of a novel unsupervised pattern recognition system to the classification of the visual evoked potentials (VEPs) of normal…”
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    Journal Article