3D　point　pattern　of　cluster　analysis　is　presented　based　on　3D　Voronoi.　3D　Voronoi　cell　is　used　to　represent　the　spatial　region　that　the　spatial　point　effects.　Through　a　quantitative　description　of　the　spatial　parameters　about　3D　Voronoi　cell　there　exists　the　potential　to　distinguish　the　weight　and　effective　quantity　of　each　point　in　the　3D　space.　Spatial　neighborhood　relationship　among　points　is　extracted　according　to　3D　Voronoi　cells　to　delimit　the　candidate　points　that　will　be　clustered.　The　method　illustrates　segmentation　and　cluster　distribution　of　3D　points　based　on　the　underlying　density　and　spatial　relationships,　and　actual　analysis　is　imposed　on　the　point　cloud　of　3D　rabbit　(Bunny).　The　ability　to　make　quantitative　description　of　each　3D　Voronoi　cell　gives　insights　into　spatial　controls　and　cluster　process　on　3D　points.