The Complete Gradient Clustering Algorithm: properties in practical applications

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Kulczycki, Piotr, et al. “The Complete Gradient Clustering Algorithm: Properties in Practical Applications”. Journal of Applied Statistics, vol. 39, no. 6, 2012, pp. 1211-24, https://doi.org/10.1080/02664763.2011.644526.
Kulczycki, P., Charytanowicz, M., Kowalski, P. A., & Lukasik, S. (2012). The Complete Gradient Clustering Algorithm: properties in practical applications. Journal of Applied Statistics, 39(6), 1211-1224. https://doi.org/10.1080/02664763.2011.644526
Kulczycki, Piotr, Malgorzata Charytanowicz, Piotr A. Kowalski, and Szymon Lukasik. “The Complete Gradient Clustering Algorithm: Properties in Practical Applications”. Journal of Applied Statistics 39, no. 6 (2012): 1211-24. https://doi.org/10.1080/02664763.2011.644526.
Kulczycki P, Charytanowicz M, Kowalski PA, Lukasik S. The Complete Gradient Clustering Algorithm: properties in practical applications. Journal of Applied Statistics. 2012;39(6):1211-24.
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Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science8
Science: Science (General): Cybernetics: Information theory4
Technology: Technology (General): Industrial engineering. Management engineering: Information technology3
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication3
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware2
Technology: Engineering (General). Civil engineering (General)2
Technology: Mechanical engineering and machinery2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics2
Agriculture: Agriculture (General)1
Agriculture: Plant culture1
Science: Biology (General): Ecology1
Geography. Anthropology. Recreation: Environmental sciences1
Technology: Environmental technology. Sanitary engineering1
Science: Mathematics1
Technology: Engineering (General). Civil engineering (General): Mechanics of engineering. Applied mechanics1
Science: Geology1
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 8 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled A grid-based clustering algorithm for wild bird distribution and was published in 2013. The most recent citation comes from a 2022 study titled Parallel complete gradient clustering algorithm and its properties. This article reached its peak citation in 2022, with 2 citations. It has been cited in 9 different journals, 22% of which are open access. Among related journals, the Information Sciences 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