Imaging feature-based clustering of financial time series

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Abstract
Cite
Wu, Jun, et al. “Imaging Feature-Based Clustering of Financial Time Series”. PLOS ONE, vol. 18, no. 7, 2023, p. e0288836, https://doi.org/10.1371/journal.pone.0288836.
Wu, J., Zhang, Z., Tong, R., Zhou, Y., Hu, Z., & Liu, K. (2023). Imaging feature-based clustering of financial time series. PLOS ONE, 18(7), e0288836. https://doi.org/10.1371/journal.pone.0288836
Wu, Jun, Zelin Zhang, Rui Tong, Yuan Zhou, Zhengfa Hu, and Kaituo Liu. “Imaging Feature-Based Clustering of Financial Time Series”. PLOS ONE 18, no. 7 (2023): e0288836. https://doi.org/10.1371/journal.pone.0288836.
1.
Wu J, Zhang Z, Tong R, Zhou Y, Hu Z, Liu K. Imaging feature-based clustering of financial time series. PLOS ONE. 2023;18(7):e0288836.
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The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 18 is the most frequently represented among the references in this article. It primarily includes studies from Expert Systems with Applications and Physica A: Statistical Mechanics and its Applications. The chart below illustrates the number of referenced publications per year.
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