Although　many　kinds　of　clustering　algorithms　are　proposed,　there　has　been　much　less　work　on　the　incremental　clustering.　Inspired　by　the　artificial　immune　systems,　the　authors　apply　it　to　the　incremental　clustering,　propose　a　novel　incremental　clustering　algorithm　called　ICAIS.　The　algorithm　mainly　uses　the　mechanism　of　immune　response　of　the　adaptive　immune　system.　The　primary　immune　response　corresponds　to　forming　the　new　clusters.　The　secondary　immune　response　corresponds　to　recognizing　the　data　belonging　to　the　existed　clusters.　The　experiments　show　that　ICAIS　has　advantages　in　recognizing　new　pattern,　the　effect　is　better.　©　2008　IEEE.