On the basis of analysis and research of traditional clustering algorithms, a clustering algorithm based on density and adaptive density-reachable is presented in this paper.

在分析与研究现有聚类算法的基础上，提出了一种基于密度和自适应密度可达的改进算法。

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A clustering algorithm based on density and partitioning method is presented according to the analysis of the strengths and weaknesses of traditional clustering algorithms.

在分析常用聚类算法的特点和适应性基础上提出一种基于密度与划分方法的聚类算法。

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Combined with semantic similarity of text data, this paper gives a method of text data clustering based on semantic density.

结合文本数据的语义相似度，给出一种基于语义密度文本数据聚类的方法。

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