Raman　spectroscopy　(RS)　has　been　used　in　the　discrimination　of　normal　and　tumor　cells　for　years.　It　is　very　important　to　validate　an　existing　classification　model　using　different　algorithms.　In　this　work,　two　algorithms　of　support　vector　classification　(SVC)　are　utilized　to　validate　our　previous　work　about　a　LDA　classification　model　of　nasopharyngeal　carcinoma　(NPC)　cell　lines　C666-1,　CNE2　and　nasopharyngeal　normal　cell　line　NP69.　All　of　these　two　SVC　algorithms　use　the　same　data　set　as　the　previous　LDA　model　and,　achieve　great　sensitivity　and　specificity.　The　final　results　show　that　our　previous　LDA　classification　model　could　be　supported　by　different　SVC　algorithms　and　this　demonstrates　our　classification　model　is　reliable　and　may　be　helpful　to　the　realization　of　RS　to　be　one　of　diagnostic　techniques　of　NPC.　©　2011　-　IOS　Press　and　the　authors.　All　rights　reserved.