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Research on vegetable bundling decisions based on K-means cluster analysis

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DOI: 10.23977/infse.2023.041017 | Downloads: 7 | Views: 576

Author(s)

Yining Zhou 1, Xingyu Zhou 1

Affiliation(s)

1 School of Government Audit, Nanjing Audit University, Nanjing, 211815, China

Corresponding Author

Yining Zhou

ABSTRACT

With the improvement of the quality of life, it has become a trend to buy vegetables in fresh agricultural products supermarkets. In the actual sales process, fresh produce usually increases supermarket revenue through bundling, so it is important to study the degree of association between each vegetable category and the correlation between single vegetable products for the bundling decision of supermarkets. In this paper, SPEARMAN correlation analysis and K-MEANS cluster analysis method are adopted to study the sales volume and pattern of each vegetable category and single vegetable product, and the time series analysis method is used to analyze the seasonal sales rules of single vegetable product and each vegetable category. This paper finds that the sales volume often reaches the maximum in winter. Finally, the optimal bundling decision and seasonal replenishment strategy are obtained according to the correlation between the vegetable category and each vegetable item and the maximum winter sales.

KEYWORDS

Spearman Correlation Coefficient, K-means Cluster Analysis, Contour Coefficient

CITE THIS PAPER

Yining Zhou, Xingyu Zhou, Research on vegetable bundling decisions based on K-means cluster analysis. Information Systems and Economics (2023) Vol. 4: 127-133. DOI: http://dx.doi.org/10.23977/infse.2023.041017.

REFERENCES

[1] Li Zhikun, Jia Wenhua, Zhu Wei, et al. Effect of nitrogen fertilizer and knosteramide on the yield and time distribution of fiber yield and quality in cotton [J]. The Journal of the Crop Sciences. 
[2] Pan Haiwei, Hao Longfei, Qin Focang, etc. Seasonal dynamics of soil microbial community structure and metabolic characteristics of pinus tabulaeformis plantation in arsenic sandstone area [J]. Resources and environment in arid areas, 2023, 37(10):168-174.
[3] Chen Jixiang, Yin Haibo, Wang Dan, etc. The relationship between traits and environmental factors of two plants in Liaoning based on gray correlation and Pearson correlation coefficient [J]. Research and Practice of Modern Traditional Chinese Medicine, 2022, 36(01):11-17.
[4] Sun Zhanlong, Zhao Baolong, Bo Yue Xuejing. Application of stability control of coal preparation quality based on dispersion and normal distribution [J]. Coal processing and comprehensive utilization, 2022 (4): 37-41 + 46. 
[5] Yun Tao, Zhang Jinnan, Li Shanshan, etc. Exploration of expert review behavior analysis and evaluation method based on Spearman's coefficient and multi-layer perceptron [J]. Science and technology bulletin. 2022, 38(05):107-112. 
[6] Wu Huihui, Yuan Zhe, Hui Xiaojian, etc. Analysis of Olympic award-winning studies based on K-means clustering [J]. Modern Information Technology, 2023, 7 (15): 136-140. 
[7] Gou Wenjing, Yang Hanjiu, Li Hang. Correlation analysis of the selection of regions of interest and biological prognosis factors for MR diffusion-weighted imaging in breast cancer patients [J]. Journal of Clinical Radiology, 2022, 41(02):251-255. 
[8] Xie Yaqi, Miao Yang, Liang Wei, et al. Restoration of shredded paper splicing based on cluster analysis and Euclidean distance model [J]. Electronic Technology and Software Engineering, 2020 (18): 145-146. 
[9] Sun Lin, Liu Menghan, Xu Jiucheng. A K-means clustering algorithm [J] based on the optimized initial clustering center and contour coefficients. Fuzzy Systems and Mathematics, 2022, 36(1):47-65.
[10] Luo Shuwen, Wan Renxia, Miao Chuoqian. A three-branch decision density peak clustering algorithm based on the cluster center preselection strategy [J]. Journal of Shanxi University (Natural Science Edition). 1):47-65.

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