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

在分析与研究现有聚类算法的基础上，提出一种基于密度和自适应密度可达的改进算法。

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The model simplification algorithms can be divided into four main categories: vertex clustering, incremental simplification, the sampling algorithm and adaptive subdivision.

根据简化算法的简化方式可将其分为四大类：顶点聚类算法、增量式简化算法、采样算法和自适应细分算法。

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