Study on situation assessment+ action mode applied in talent cultivation with k-prototype clustering

Abstract

This paper sets up the research progress on adopting k-prototype clustering technology to achieve talent evaluation driven by digitization and intelligence. With context integration and massive data information technology, the graph analysis technology is adopted to evaluate the first-line team leaders of the power system by integrating the developed scenarios with the working scenarios, and a new model of "scenario assessment" + action mode + potential mining is explored, which not only solves practical problems, but also provides a new paradigm for the development of enterprise talent echelon.