Subspace　segmentation　method　is　an　important　method　for　machine　learning.　The　existing　researches　on　subspace　segmentation　method　are　generally　on　the　original　sample　space.　Advanced　by　existing　dimensional　reduction　methods,　a　gene　expression　data　clustering　method　based　on　projection　subspace　segmentation　is　proposed　by　joining　projection　method　and　least　square　regression　based　subspace　segmentation.　Projection　matrix　and　remodeling　matrix　is　got　by　using　alternate　optimization,　and　dimension　reduction　and　cluster　is　realized　simultaneously.　The　experimental　results　on　six　gene　expression　datasets　illustrate　the　validity　of　the　proposed　method.　©,　2015,　Journal　of　Pattern　Recognition　and　Artificial　Intelligence.　All　right　reserved.