In view of above questions , a probability - density - based data stream clustering algorithm was pr . . 针对该问题，提出了一种基于概率密度的数据流聚类算法。
This paper studied almost all the cluster algorithms to identify customer clusters 本文立足现有的聚类算法，考察了所有在技术层面上实现客户聚类的算法。
Application of a novel fuzzy clustering method based on chaos immune evolutionary algorithm for edge detection in image processing 混沌免疫模糊聚类算法在图像边缘检测中的应用
In the section of spatial segmentation , we use a non - parametric clustering algorithm based on mean shift 本文采用基于均值偏移( meanshift )的算法,该算法本质上是一种特征聚类算法。
A novel object individual oriented clustering algorithm , neoren , is proposed , which is based on the graph theory 提出了一种新的从对象个体出发的聚类算法? ?基于图论的聚类算法neoren 。
Based on some traditional algorithms , this thesis provides a weighted star cluster algorithm to learn user profile 对已有算法进行改进，提出了一种加权的星型聚类算法以学习用户的兴趣特征。
Clustering method is one of the core techniques in data mining . it was very important in data mining process 聚类算法是数据挖掘中的核心技术之一，在整个数据挖掘过程中有着非常重要的作用。
But this model ca n ' t change the weakness in essence that it is difficult to withdraw the rules , optimize the input space and the 本文首先分析比较了几种典型的聚类算法，并对其存在的缺陷加以改进。
Second , in view of the fuzzy and stochastic characteristics of the human vision system , we studied fuzzy clustering algorithm 然后，根据人类视觉中的模糊性和随机性，对模糊聚类算法进行了研究。
Based on the analysis of the core concepts of the kernel methods , a clustering algorithm based on kernel methods was put forward 摘要在分析核方法的核心概念基础上，提出了一种基于核方法的聚类算法。
