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.
正态混合模型还可以用来对那些不能用标准的参数分布族来拟和的总体进行密度估计或近似。
The normal mixed distribution model can be used to get probability density or to simulate population which can not be fitted by standard parameters distribution classes.
在充分研究现有运动目标检测算法的基础上，提出了一种新的非参数核密度估计背景模型。
A new background model of non-parameter kernel density estimate was presented on the basis of abundant study on algorithms of moving object detection.
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