Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 6, Issue 2


Published
on

March 20, 2024


Pages


DOI

Article

Economic benefit analysis of enterprises from multi-dimensional perspective based on K-means clustering

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Authors

Shuang Wang Affiliation:
Harbin Finance University, Harbin, Heilongjiang 150000, China


Abstract

Economic benefit is the basic starting point of all economic activities that further developing financial advantages is helpful for improve the market seriousness of companies. The development of enterprises lessens work utilisation and acquires greatest advantages with the base speculation. Therefore, in this paper, the evaluation indices of economic benefit in enterprises are classified and the analysis model of economic benefit based on K-means clustering is established. According to the principal component analysis method, multi-dimensional analysis is conducted on X Company’s orders, income and expenditure data, loan amount and other aspects, which can help the senior leaders to scientifically manage and control the economic situation of the company, and make a better scientific forecast for future development.


Keywords

Economic benefit, K-means clustering, Multi-dimensional analysis, data analysis


Citation

Wang, S. (2021). Economic benefit analysis of enterprises from multi-dimensional perspective based on k-means clustering. Applied Mathematics and Nonlinear Sciences, 6(2). https://doi.org/10.2478/amns.2021.2.00191

Published by: Engineering Journals

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