Although it is sometimes neglected, application is a crucial component of mixed dance pedagogy. The traditional clustering method produces less-than-ideal results when used to these kinds of educational applications. This research explores the pedagogical consequences of introducing a new method for teaching mixed dance that is based on an advanced clustering algorithm. To begin, the idea of density clustering helps to identify important components and classify metrics according to educational application requirements, which reduces the impact of potential distractions. Then, using the updated algorithmic framework, this improved clustering technique develops an instructional plan, and last, its educational effectiveness is thoroughly evaluated. Based on the results of the MATLAB simulations, the improved method beats the old one when it comes to educational accuracy and the time dynamics of instructional impact, according to several benchmarks.