The invention discloses an REST data service clustering method based on an Internet service domain. The REST data service clustering method comprises the following steps: step 1, performing formalizeddefinition; 2, performing service feature extraction and simplification; 3, constructing a topic clustering model; 4, performing similarity calculation; step 5, performing service clustering; 6, updating the globally optimal object by the data cells according to an operation rule; and 7, enabling each tissue cell in the system to used as an independent execution unit to evolve and run in a parallel structure, so that the system is distributed in parallel. In the system, a series of calculation steps are defined as one calculation step; starting from tissue cells containing an initial data cell object set, in each calculation, it means that one or more evolutionary rules are acted on the current data cell object set, when shutdown constraint conditions of the system are met, the system automatically shuts down, and calculation results are presented in the external environment of the system. According to the method, the characteristics of the service field can be better obtained, and abetter clustering result can be obtained.