求翻译：当今经济活动中, 股票已经成为百姓投资的热点。但股市中机遇与风险并存, 因此有必要对股票市场的波动特征进行分析。股票收益数据是典型的时间序列数据,为了验证本文所提出的基于极值点距离的最小跨度聚类方法的有效性和可行性, 下面将其应用于实际的股票时间序列数据聚类分析中。是什么意思？

Today's economic activity, the stock has become a hot investment of the people. But both opportunities and risks in the stock market, so it is necessary to analyze the fluctuation characteristics of the stock market. Stock return data is a typical time-series data, in order to verify the effectivene

In today's economic activity, has become a stock investment in 100 people. But in the stock market opportunities and risks exist side by side, so it is necessary to stock market fluctuations in the analyzed features. Equity earnings data are typical of the time series data, in order to validate this

In today's economic activity, stock investment has become the people's hot spots. But the coexistence of opportunities and risks in the stock market, it is necessary to analyze the characteristics of fluctuation in the stock market. Stock return data is typical of time series data, to verify this ar

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