基于K-Means聚类的股票分类研究

Re-search on Stock Classification Based on K-Means Clustering

摘要: 随着中国经济市场的发展以及股票市场的逐步完善，目前在中国股票市场上有约2000支股票，越来越多的人将股票作为一种主要的投资方式。人们在投资时总期望以最小的风险获取最大的利益，面对庞大的股票市场和繁杂的股票数据，要想对股票进行合理的分析和选择，聚类分析就显得尤为重要。在本文中，我们采用了K-means聚类法对随机选择的二十支个股进行了聚类，并对各类股票进行了分析，给出了相应的投资建议。

Abstract: With the development of China’s economic market and the gradual improvement of the stock market, there are about 2000 stocks in China’s stock market at present, and more and more people regard stocks as a major investment method. We always expect to obtain the maximum benefit with the minimum risk when investing. Facing the huge stock market and complicated stock data, cluster analysis is particularly important for reasonable analysis and selection of stocks. In this paper, we use k-means clustering to cluster 20 randomly selected stocks, then we analyze various types and give corresponding investment suggestions.