In　view　of　the　problem　that　the　number　of　clusters　need　to　be　set　manually,　it　is　difficult　to　process　the　multi-dimensional　data　effectively,　and　the　clustering　results　are　not　described　effectively　when　the　multi-dimensional　data　need　to　be　clustered.　This　paper　proposes　a　method　of　adaptive　spatial　clustering　and　its　cloud　model　representation　for　the　multi-dimensional　data.　This　method　can　be　used　to　cluster　multi-dimensional　spatial　data,　form　qualitative　description　of　clustering　results,　and　realize　the　reconstruction　and　verification　of　qualitative　description　features.　Through　simulation　experiments,　this　method　can　cluster　data　adaptively　without　the　need　to　set　the　number　of　clusters.　At　the　same　time,　it　has　a　good　ability　to　abstract　and　reconstruct　digital　features.　©　2020　ACM.