基于主成分分析和聚类分析的人工智能概念板块投资价值分析
Analysis of Investment Value in Artificial Intelligence Concept Stocks Based on Principal Component Analysis and Cluster Analysis

本文研究了人工智能概念板块股票的投资价值。通过选取12个财务指标，运用主成分分析法从12个财务指标中提取了四个关键主成分，对股票进行了综合评价。进一步采用K-Means聚类分析法将股票分为三类。结果显示，第一类股票(如国联股份等380只)财务稳健，投资价值高；第二类股票(如荣联科技等10只)财务表现一般，需谨慎投资；第三类股票(如荣旗科技等136只)财务稳健，但投资价值一般。该研究有助于投资者缩小投资范围、降低风险，并揭示了人工智能领域的巨大发展潜力。
This article investigates the investment value of stocks in the artificial intelligence (AI) concept sector. Using principal component analysis, it extracts four key principal components from 12 financial indicators to comprehensively evaluate the stocks. The stocks are further categorized into three groups through K-Means clustering analysis. The results indicate that the first category (e.g. 380 stocks like Guolian Co., Ltd.) exhibits solid financial stability and high investment value, while the second category (e.g. 10 stocks like Ronglian Technology) shows average financial performance, requiring cautious investment. The third category (e.g. 136 stocks like Rongqi Technology) demonstrates financial stability but average investment value. This study aids investors in narrowing their investment scope, mitigating risks, and highlighting the significant growth potential in the AI sector.