Abstract
Number of researches on stock data are based on machine learning method. However, former researches mainly applied all kinds of supervised learning method as well as some kind of basial clustering method, such as neuro net-work and k-means algorithm. We use an emerging clustering algorithm called AP algorithm to cluster the A-share stock data before 2017. And finally, according to the market performance, the selected 69 A-share stocks are divided into 9 classification clusters based on their market performances. Such classification has a strong guiding role for investment decision-making.
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