Fuzzy clustering of probability density functions

Article Properties
  • Language
    English
  • DOI (url)
    10.1080/02664763.2016.1177502
  • Publication Date
    2016/05/29
  • Journal
    Journal of Applied Statistics
  • Indian UGC (journal)
  • Refrences
    33
  • Citations
    27
  • Thao Nguyentrang Division of Computational Mathematics and Engineering, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City, VietnamFaculty of Mathematics and Statistics, Ton Duc Thang University, Ho Chi Minh City, Vietnam
  • Tai Vovan College of Natural Science, University of Can Tho, Can Tho City, Vietnam
Cite
Nguyentrang, Thao, and Tai Vovan. “Fuzzy Clustering of Probability Density Functions”. Journal of Applied Statistics, vol. 44, no. 4, 2016, pp. 583-01, https://doi.org/10.1080/02664763.2016.1177502.
Nguyentrang, T., & Vovan, T. (2016). Fuzzy clustering of probability density functions. Journal of Applied Statistics, 44(4), 583-601. https://doi.org/10.1080/02664763.2016.1177502
Nguyentrang, Thao, and Tai Vovan. “Fuzzy Clustering of Probability Density Functions”. Journal of Applied Statistics 44, no. 4 (2016): 583-601. https://doi.org/10.1080/02664763.2016.1177502.
Nguyentrang T, Vovan T. Fuzzy clustering of probability density functions. Journal of Applied Statistics. 2016;44(4):583-601.
Journal Categories
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
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Globally automatic fuzzy clustering for probability density functions and its application for image data Applied Intelligence
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Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science11
Science: Mathematics9
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics7
Science: Mathematics: Probabilities. Mathematical statistics6
Technology: Engineering (General). Civil engineering (General)6
Technology: Mechanical engineering and machinery5
Science: Science (General): Cybernetics: Information theory4
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software4
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware4
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks3
Technology: Manufactures: Production management. Operations management3
Science3
Technology: Electrical engineering. Electronics. Nuclear engineering2
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication2
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 11 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Similar coefficient for cluster of probability density functions and was published in 2017. The most recent citation comes from a 2023 study titled Improving fuzzy clustering model for probability density functions using the two-objective genetic algorithm. This article reached its peak citation in 2020, with 6 citations. It has been cited in 20 different journals, 15% of which are open access. Among related journals, the CTU Journal of Science cited this research the most, with 3 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year