Gene expression data has the characteristics of small sample size, high dimension, nonlinear and so on. In order to effectively deal with the gene expression data,a subspace clustering method is proposed via smooth neighbour representation(SNR). The neighborhood linear representation of data points is used to describe the nonlinear properties of data, and the smooth constraint is added on the representation which makes the relationship of distance between data point and its neighbors embed in the reconstruction representation. Experiment results on gene expression data show that the performance of SNR is superior to several existing methods, and SNR can cluster gene expression data effectively.