Search Results - Gath―Geva algorithm

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  1. 1

    Roller bearing fault diagnosis using stacked denoising autoencoder in deep learning and GathGeva clustering algorithm without principal component analysis and data label by Xu, Fan, Tse, Wai tai Peter, Tse, Yiu Lun

    ISSN: 1568-4946, 1872-9681
    Published: Elsevier B.V 01.12.2018
    Published in Applied soft computing (01.12.2018)
    “… Therefore, a method based on the SDAE and GathGeva (GG) clustering algorithm for roller bearing fault diagnosis without a data label is proposed in this study…”
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    Journal Article
  2. 2

    Determination of apple varieties by near infrared reflectance spectroscopy coupled with improved possibilistic GathGeva clustering algorithm by Wu, Xiaohong, Zhou, Haoxiang, Wu, Bin, Fu, Haijun

    ISSN: 0145-8892, 1745-4549
    Published: 01.08.2020
    “… In order to distinguish apple varieties quickly, accurately, and nondestructively, an improved possibilistic GathGeva (IPGG…”
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    Journal Article
  3. 3

    A possibilistic fuzzy Gath-Geva clustering algorithm using the exponential distance by Wu, Xiaohong, Zhou, Haoxiang, Wu, Bin, Zhang, Tingfei

    ISSN: 0957-4174, 1873-6793
    Published: New York Elsevier Ltd 01.12.2021
    Published in Expert systems with applications (01.12.2021)
    “… As a famous clustering algorithm, Gath-Geva (GG) clustering has been widely applied in many fields…”
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    Journal Article
  4. 4

    Fuzzy and hard clustering analysis for thyroid disease by Azar, Ahmad Taher, El-Said, Shaimaa Ahmed, Hassanien, Aboul Ella

    ISSN: 0169-2607, 1872-7565, 1872-7565
    Published: Kidlington Elsevier Ireland Ltd 01.07.2013
    “… This paper proposes a comparison between hard and fuzzy clustering algorithms for thyroid diseases data set in order to find the optimal number of clusters…”
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    Journal Article
  5. 5

    Comparative study on textual data set using fuzzy clustering algorithms by Sadika, Rjiba, Soltani, Moez, Benammou, Saloua

    ISSN: 0368-492X, 1758-7883
    Published: London Emerald Group Publishing Limited 05.09.2016
    Published in Kybernetes (05.09.2016)
    “…,” the authors collect a textual data set from a questionnaire targeted at students. Five clustering algorithms are mainly applied: the Gath-Geva (G-G…”
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    Journal Article
  6. 6

    A comparison between neural and fuzzy cluster analysis techniques for functional MRI by Lange, O., Meyer-Baese, A., Hurdal, M., Foo, S.

    ISSN: 1746-8094
    Published: Elsevier Ltd 01.07.2006
    Published in Biomedical signal processing and control (01.07.2006)
    “…–Geva algorithm, the fuzzy n-means algorithm, Kohonen's self-organizing map, fuzzy n-means algorithm with unsupervised initialization, minimal free energy vector quantizer and the “neural-gas…”
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    Journal Article
  7. 7

    Gath-Geva clustering algorithm for high performance computing (HPC) monitoring by El Motaki, Saloua, Yahyaouy, Ali, Gualous, Hamid, Sabor, Jalal

    Published: IEEE 01.10.2019
    “… This work focuses on the employment of Gath-Geva clustering algorithm to identify applications and their behavioural similarities while running on HPC system…”
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    Conference Proceeding
  8. 8

    Improved GathGeva clustering for fuzzy segmentation of hydrometeorological time series by Wang, Nini, Liu, Xiaodong, Yin, Jianchuan

    ISSN: 1436-3240, 1436-3259
    Published: Berlin/Heidelberg Springer-Verlag 01.01.2012
    “…In this paper, an improved GathGeva clustering algorithm is proposed for automatic fuzzy segmentation of univariate and multivariate hydrometeorological time series…”
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    Journal Article
  9. 9

    Using artificial intelligence techniques for image compression by Khalil, Bayda Ibrahim

    ISSN: 1815-4816, 2311-7990
    Published: الموصل، العراق جامعة الموصل، كلية علوم الحاسبات و الرياضيات 09.12.2014
    “…) that include from fuzzy logic, swarm intelligent technique, and artificial neural networks. Traditional clustering algorithm k-means and AITs were used, such as Gath-Geva fuzzy clustering algorithm, and Particle Swarm Optimization Technique (PSO…”
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    Journal Article
  10. 10

    A new integrated on-line fuzzy clustering and segmentation methodology with adaptive PCA approach for process monitoring and fault detection and diagnosis by Alaei, Hesam Komari, Salahshoor, Karim, Alaei, Hamed Komari

    ISSN: 1432-7643, 1433-7479
    Published: Berlin/Heidelberg Springer-Verlag 01.03.2013
    Published in Soft computing (Berlin, Germany) (01.03.2013)
    “…A new on-line fuzzy clustering-based algorithm is developed using integration of an adaptive principal component analysis approach with a weighted fuzzy C-means (WFCM…”
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    Journal Article
  11. 11

    Modified Gath-Geva fuzzy clustering for identification of Takagi-Sugeno fuzzy models by Abonyi, J., Babuska, R., Szeifert, F.

    ISSN: 1083-4419
    Published: United States IEEE 01.10.2002
    “… First, it is shown how the antecedent fuzzy sets and the corresponding consequent parameters of the TS model can be derived from clusters obtained by the Gath-Geva (GG) algorithm…”
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    Journal Article
  12. 12
  13. 13

    An online sequential extreme learning machine for tidal prediction based on improved GathGeva fuzzy segmentation by Yin, Jianchuan, Wang, Nini

    ISSN: 0925-2312, 1872-8286
    Published: Elsevier B.V 22.01.2016
    Published in Neurocomputing (Amsterdam) (22.01.2016)
    “…) based on improved GathGeva (IGG) fuzzy segmentation algorithm. Tidal change is a time-varying process whose dynamics vary with changes of internal and environmental…”
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    Journal Article
  14. 14
  15. 15

    Bearing condition degradation assessment based on basic scale entropy and Gath-Geva fuzzy clustering by Wang, Bing, Hu, Xiong, Sun, Dejian, Wang, Wei

    ISSN: 1687-8132, 1687-8140
    Published: London, England SAGE Publications 01.10.2018
    Published in Advances in mechanical engineering (01.10.2018)
    “…A method based on basic scale entropy and Gath-Geva fuzzy clustering is proposed in order to solve the issue of bearing degradation condition recognition…”
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    Journal Article
  16. 16

    Recursive GathGeva clustering as a basis for evolving neuro-fuzzy modeling by Soleimani-B., Hossein, Lucas, Caro, Araabi, Babak N.

    ISSN: 1868-6478, 1868-6486
    Published: Berlin/Heidelberg Springer-Verlag 01.08.2010
    Published in Evolving systems (01.08.2010)
    “…–Geva clustering algorithm, which is capable of constructing elliptical clusters as well…”
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    Journal Article
  17. 17

    Identification of Catenary Performance Degradation Based on Gath Geva Clustering and Improved Support Vector Date Description by Yi, Lingzhi, Sun, Tao, Zhao, Jian, Xu, Xiu, Jiang, Ganlin, Liu, Jiangyong

    ISSN: 2193-567X, 1319-8025, 2191-4281
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2022
    “…) optimized by Gath Geva (GG) clustering and particle swarm optimization (PSO) algorithm is proposed…”
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    Journal Article
  18. 18

    Image clustering based on artificial intelligence techniques by Khalil, Bayda Ibrahim

    ISSN: 1815-4816, 2311-7990
    Published: الموصل، العراق جامعة الموصل، كلية علوم الحاسبات و الرياضيات 01.07.2014
    “… There are several algorithms for clustering large data sets or streaming data sets, Their aims are to organize a collection of data items into clusters…”
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    Journal Article
  19. 19

    Fuzzy c-means and gath-geva methods in clustering districts based on human development index (hdi) in south sulawesi by Annas, S, Nyompa, S, Arisandi, R, Nusrang, M, Eka, S

    ISSN: 1742-6588, 1742-6596
    Published: Bristol IOP Publishing 01.10.2019
    Published in Journal of physics. Conference series (01.10.2019)
    “… Fuzzy clustering algorithm that can be used is Fuzzy C-means (FCM). Another method of fuzzy clustering analysis developed further is Gath Geva (GG…”
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    Journal Article
  20. 20

    A bearing fault diagnosis technique based on singular values of EEMD spatial condition matrix and Gath-Geva clustering by Yu, Kun, Lin, Tian Ran, Tan, Ji Wen

    ISSN: 0003-682X, 1872-910X
    Published: Elsevier Ltd 01.06.2017
    Published in Applied acoustics (01.06.2017)
    “…•Gath Geva ckustering is used to train and calculate the cluster center for each bearing condition…”
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    Journal Article