According to the relationship between auto correlation function and its spectral density, a new type of decision tree method based on signal analysis theory is proposed in this paper.
该文根据自相关函数与谱密度函数之间的对应关系，提出了一种新的基于自相关函数的决策树归纳学习算法。
To solve this problem, a detection method based on global abnormal correlation analysis was proposed.
为了解决该问题，提出一种基于全局流量异常相关分析的检测方法。
The paper first makes clustering analysis for 17 treasury bonds' daily return time series by using a suitable metrical approach based on the correlation among the bonds.
首先通过采用一种基于各个国债之间相关性的新测度方法，对17个国债日收益率时间序列进行聚类分析。
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