作者: Giri Mallika Bora , Rosy Sarmah
DOI: 10.1109/WICT.2011.6141366
关键词:
摘要: In this paper, we propose an algorithm for efficient clustering of gene expression data. The uses the concept common neighbors and a fuzzy approach detecting intersecting overlapping clusters. We have also compared to existing popular approaches found our give good results in terms z-score measure cluster validity p-value measure.