A　single　source　bins　(SSBs)　detection　based　multiple　source　localisation　scheme　is　proposed.　This　scheme　is　based　on　detecting　the　SSBs　in　mixture　signals　that　are　only　derived　from　one　source.　Specifically,　after　proposing　a　DOA　convergence＇　assumption,　K-means　clustering　algorithm　is　used　for　SSBs　detecting.　Thus,　the　multiple　source　localisation　is　converted　to　a　single　source　one　among　these　SSBs.　Moreover,　the　proposed　SSBs　detection　is　applicable　to　other　localisation　methods　and　not　limited　to　specific　microphone　topology.　Experimental　results　demonstrate　the　localisation　accuracy　of　the　proposed　method　outperforms　the　localisation　approaches　which　are　based　on　single　source　zone　detection.