本文提出了利用一维核函数构造多维密度函数一个新估计的方法。

In this paper, a new kernel estimator of multivariate density is proposed by using a univariate kernel function.

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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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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.

youdao