Abstract: Along with the rapid development of information and technology, the diversity an d numerousness of data forms have become a common problem confronted by data col lectors and researchers. The various researches not only analyzed and discussed problems by using the three-way data, but also in multi-angles and multi-dime nsions. The analysis object of this paper is the classification of three-way da ta, which is three-dimensional data composed of cross-sectional data and time series data. The paper tries to do clustering analysis based on constant mean an d dynamic dissimilarity, and uses modern service industry data of our country to make an empirical analysis.