With the continuous development of Internet technology, and the popularization of mobile phones, computer tablets, and other mobile terminals, live video streaming has flourished and expanded over the past few years. Almost every live video streaming platform in China has virtual-gifts donating mechanism, which allows viewers to buy virtual-gifts provided by the platform for rewarding the broadcasters. Viewers' virtual-gifts donation is one of the most important sources of revenue for both the broadcaster and the platform, which makes it important to understand the viewer's behavior, so that it can be used to explore user's value and enhance user's liquidity. In this study, we take Douyu live video streaming platform as a case study, mainly focusing on the high consumption community on the platform. We specifically construct viewer features to analyze their behavior through clustering approach. The experiment result shows that the high consumption community can be divided into three clusters with significant difference in their behavior. We also conduct detailed analysis regarding viewer characteristics for all these three clusters, and offer suggestions for the platform to provide diversified user-oriented services.