Aiming　at　the　problems　of　low　accuracy,　long　time　consumption,　and　failure　to　obtain　quantitative　fault　identification　results　of　existing　automatic　fault　identification　technic,　a　fault　recognition　method　based　on　clustering　linear　regression　is　proposed.　Firstly,　Hough　transform　is　used　to　detect　the　line　segment　of　the　enhanced　image　obtained　by　the　coherence　cube　algorithm.　Secondly,　the　endpoint　of　the　line　segment　detected　by　Hough　transform　is　taken　as　the　key　point,　and　the　adaptive　clustering　linear　regression　algorithm　is　used　to　cluster　the　key　points　adaptively　according　to　the　linear　relationship　between　them.　Finally,　a　fault　is　generated　from　each　category　of　key　points　based　on　least　squares　curve　fitting　method　to　realize　fault　identification.　To　verify　the　feasibility　and　progressiveness　of　the　proposed　method,　it　is　compared　with　the　traditional　method　and　the　latest　method　on　the　actual　seismic　data　through　experiments,　and　the　effectiveness　of　the　proposed　method　is　verified　by　the　experimental　results　on　the　actual　seismic　data.　©　2023　Inst.　of　Scientific　and　Technical　Information　of　China.　All　rights　reserved.