基于自适应网格的固有聚类检测

15th International Conference on Advanced Computing and Communications (ADCOM 2007) Pub Date : 2007-12-18 DOI:10.1109/ADCOM.2007.82

S. Sarmah, R. Das, D. Bhattacharyya

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引用次数: 8

摘要

本文提出了一种基于三角细分的网格密度聚类算法GDCT，该算法能够在大空间数据集上识别任意形状的嵌入式聚类以及多密度聚类。实验结果证明了该技术在聚类质量方面的优越性。

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Intrinsic Cluster Detection Using Adaptive Grids

This paper presents an algorithm GDCT, grid density clustering using triangle-subdivision, capable of identifying arbitrary shaped embedded clusters as well as multi density clusters over large spatial datasets. The experimental results establish the superiority of the technique in terms of cluster quality.

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15th International Conference on Advanced Computing and Communications (ADCOM 2007)

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