Ensemble Clustering of High Dimensional Data With FastMap Projection
文献类型:会议论文
作者 | Khan, Imran; Huang, Joshua Zhexue; Nguyen Thanh Tung; Williams, Graham |
出版日期 | 2014 |
会议名称 | 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) |
会议地点 | Tainan, Taiwan |
英文摘要 | In this paper, we propose an ensemble clustering method for high dimensional data which uses FastMap projection to generate subspace component datasets. In comparison with popular random sampling and random projection, FastMap projection preserves the clustering structure of the original data in the component data sets so that the performance of ensemble clustering is improved significantly. We present two methods to measure preservation of clusteringstructure of generated component data sets. The comparison results have shown that FastMap preserved the clustering structure better than random sampling and random projection. Experiments on three real data sets were conducted with three data generation methods and three consensus functions. The results have shown that the ensemble clustering with FastMap projection outperformed the ensemble clusterings with random sampling and random projection. |
收录类别 | EI |
语种 | 英语 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/6041] ![]() |
专题 | 深圳先进技术研究院_数字所 |
作者单位 | 2014 |
推荐引用方式 GB/T 7714 | Khan, Imran,Huang, Joshua Zhexue,Nguyen Thanh Tung,et al. Ensemble Clustering of High Dimensional Data With FastMap Projection[C]. 见: 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). Tainan, Taiwan. |
入库方式: OAI收割
来源:深圳先进技术研究院
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