Clustering probability distributions

Article Properties
Cite
Vo Van, Tai, and T. Pham-Gia. “Clustering Probability Distributions”. Journal of Applied Statistics, vol. 37, no. 11, 2010, pp. 1891-10, https://doi.org/10.1080/02664760903186049.
Vo Van, T., & Pham-Gia, T. (2010). Clustering probability distributions. Journal of Applied Statistics, 37(11), 1891-1910. https://doi.org/10.1080/02664760903186049
Vo Van, Tai, and T. Pham-Gia. “Clustering Probability Distributions”. Journal of Applied Statistics 37, no. 11 (2010): 1891-1910. https://doi.org/10.1080/02664760903186049.
Vo Van T, Pham-Gia T. Clustering probability distributions. Journal of Applied Statistics. 2010;37(11):1891-910.
Journal Categories
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
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Applied Multivariate Statistical Analysis 1998
Handbook of Statistics
Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability
Mixture Model: Inference and Applications to Clustering 1988
Citations
Title Journal Journal Categories Citations Publication Date
A new semi-supervised clustering algorithm for probability density functions and applications Neural Computing and Applications
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
 2024
Classifying for interval and applying for image based on the extracted texture feature Granular Computing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Science (General): Cybernetics: Information theory
 2024
Classifying for images based on the extracted probability density function and the quasi Bayesian method Computational Statistics
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 1 2023
Globally automatic fuzzy clustering for probability density functions and its application for image data Applied Intelligence
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
 5 2023
Improving fuzzy clustering model for probability density functions using the two-objective genetic algorithm Multimedia Tools and Applications
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 1 2023
Citations Analysis
Category Category Repetition
Science: Mathematics18
Science: Mathematics: Probabilities. Mathematical statistics15
Science: Mathematics: Instruments and machines: Electronic computers. Computer science14
Technology: Engineering (General). Civil engineering (General)8
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics7
Technology: Mechanical engineering and machinery6
Science5
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software4
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware4
Science: Science (General): Cybernetics: Information theory3
Technology: Manufactures: Production management. Operations management3
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks2
Geography. Anthropology. Recreation: Geography (General)1
Technology: Photography1
Science: Geology1
Technology: Electrical engineering. Electronics. Nuclear engineering1
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication1
Science: Astronomy: Astrophysics1
Science: Physics1
Science: Astronomy1
The category Science: Mathematics 18 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled The Complete Gradient Clustering Algorithm: properties in practical applications and was published in 2012. The most recent citation comes from a 2024 study titled Classifying for interval and applying for image based on the extracted texture feature. This article reached its peak citation in 2020, with 7 citations. It has been cited in 29 different journals, 17% of which are open access. Among related journals, the Open Journal of Statistics cited this research the most, with 6 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year