实验结果表明该算法能有效发现变长符号序列中的聚类模式。

Simulation results show that our method can successfully find patterns of clusters of the input variable-length sequences.

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该方法采用核密度估计模型来构造近似密度函数，利用爬山策略来提取聚类模式。

This method USES kernel density estimation model to construct the approximate density function, and takes hill climbing strategy to extract clustering patterns.

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您还可以修改一些规范，比如图表的范围和类型(条形图或线形图，层叠图或聚类图)、颜色和模式选项、细分维度和工具提示。

You will be able to modify some of the specifications such as the range and type of chart (bar or line, stacked or clustered), color and pattern choices, breakdown dimension and tooltips.

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