Clustering model of multimedia data by using rough sets theory

With the recent advances in electronic imaging, video devices, storage, networking and computer power, the amount of multimedia has grown enormously, and multimedia data management has become a popular way of discovering new knowledge from such a large data sets. This paper utilizes the Rough set theory to cluster multimedia data into three classes. The clustering results are then used to manage multimedia data. The experimental results show that the proposed model is effective to classify the media types of multimedia data and obtain 0.98% of average retrieval performance. The research used Rosetta software which is based on rough set theory to process the data.