Performance Analysis of Listed Companies in the Lighting Industry Based on Spectral Clustering
SHU Fuhua
Abstract：Objective clustering analysis of the operating performance of listed lighting companies,studying the similarities and differences in their operating performance,is of positive significance for summarizing experience,learning from lessons,rectifying and improving,continuously improving the operational level and profitability of enterprises,and promoting high-quality development of the entire industry.Spectral clustering is a clustering algorithm based on the theory of spectrograms.Compared with traditional clustering algorithms,it can cluster in any shape of sample space and reduce high-dimensional spatial data to low dimensional spatial data processing.It has the advantages of strong adaptability,good convergence,simple calculation,and easy acquisition of global optimal solutions.The performance of some listed companies in China's lighting industry was analyzed by using spectral clustering.The results indicate that the classification results are objective and accurate,with profound and rich connotations,and the decision-making process is easy to understand,vivid and clear,and intuitive.
Keywords：lightinglisted companyperformanceanalyzingspectral clustering
Publication Date：2025-01-24
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 1-6,16 )