关键词: 基因表达数据, 双向聚类, 模糊聚类, 范数, 无参数聚类

Abstract: This paper proposed a new non-parametric algorithm for clustering gene expression data. This algorithm combined the fuzzy clustering of multi-dimensional data with CTWC. Furthermore, it introduced the norm-based method to improve and prove reasonable. The colon tumor gene expression dataset was analyzed and the interesting combination of 8 genes is discovered, which could identify the colon tumor samples whih 90% accuracy as well as the subtypes of the colon tumor. Experiments were proved the feasibility of the method.

Key words: gene expression data, two-way clustering, fuzzy clustering, norm, non-parametric clustering