NBA all-star game is a game that attracts tremendous attentions. The competitiveness that starts show in the game leads the development of world basketball techniques, while the key factor indicates competitiveness is sport technical index features and so more scientific analysis of techniques and tactics level in all-star game is a researchable topic. This paper adopts cluster analysis from SPSS and Fisher discriminate analysis method to make category classification to 24 players in 2013 NBA all-star game, and analysis of techniques and tactics index after quantization so as to explore the key for getting victory in competition and basis of techniques and tactics level playing through data concentration effect. At first, this paper makes research on technical index data that offered by officials in NBA game , and carries out standardization handling with such data, then discusses application range of cluster analysis and rationality that basketball techniques and tactics level reflect in detail, finally utilize cluster analysis method to analyze index level that stars respectively in eastern and western conference show in the game, gets NBA stars classification result according to index level to provide data basis for selecting targeted players’ tracking on NBA key players techniques research.