• P JAYAPRIYA
• V DURGA DEVI
• Dr R PRIYA

Fast and high feature clustering algorithms shows an important role in data mining for active movie recommendation , summarize, and organization of data. The K-Means algorithm is the supreme universally used partitioned clustering algorithm since it can be simply implemented and is the supreme proficient in terms of the implementation time. This paper proposes two methods for efficient document clustering; these proposed methods concerning the application of computing methodology as an intellectual enhanced genetic based algorithm.

Cluster Centroid, Optimization, K-Means clustering, Particle Swarm Optimization, Genetic Algorithm

"HYBRID OPTIMIZATION BASED CLUSTERING APPROACH FOR EFFECTIVE PREDICTING AND RECOMMENDATION OF MOVIES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.676-687, May-2019, Available :http://www.jetir.org/papers/JETIR1905D96.pdf

"HYBRID OPTIMIZATION BASED CLUSTERING APPROACH FOR EFFECTIVE PREDICTING AND RECOMMENDATION OF MOVIES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp676-687, May-2019, Available at : http://www.jetir.org/papers/JETIR1905D96.pdf