基因表达数据的快速聚类算法

2008 ISECS International Colloquium on Computing, Communication, Control, and Management Pub Date : 2008-08-03 DOI:10.1109/CCCM.2008.82

Liu Wei, Chen Ling, Qin Ling

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引用次数: 1

摘要

提出了一种基因表达数据的双聚类算法。该算法基于数据集的质量与大小的抗单调性，通过在数据集上逐渐增加列和行来得到最终的双聚类。实验结果表明，与同类算法相比，该算法具有更高的处理速度和聚类质量。

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A Fast Algorithm for Gene Expressing Data Biclustering

A biclustering algorithm for gene expressing data is presented. Based on the anti-monotones property of the quality of the data sets with their sizes, the algorithm can get the final biclusters by gradually adding columns and rows on the data sets. Experimental results show that our algorithm has higher processing speed and quality of clustering than other similar algorithms.

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来源期刊

2008 ISECS International Colloquium on Computing, Communication, Control, and Management

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