Data clustering has been applied in various fields like machine learning, data processing, wireless sensor network and pattern recognition. Association rule in data mining technique frequently plays a necessary role. Data mining has types of application areas like clustering in WSN, medical specialty and biological sequences. The disadvantages and advantages of K-means and PSO technique have been discussed and in the projected model, K-means algorithm and Particle Swarm Optimization (PSO) will be hybridized to produce efficient results. For each application, technical details that are required for applying PSO, such as its type, particle formulation and fitness function is discussed.