Improved K-means Algorithm for Searching Research Papers

Clustering is one of the unsupervised learning method in which a set of essentials is separated into uniform groups. The k-means method is one of the most widely used clustering techniques for various applications. For the Searching as well as reading research papers users need more time or users spend two to three hours for searching or reading single papers, so this is more consuming process, so it is required that use enhanced search engine which is based on fastest reading algorithm which provides best output or results. So we are proposed Enhanced architecture with improved kmeans algorithm, which proposes a method for making the algorithm more effective and efficient, so as to get better clustering with reduced complexity. It will search the base keyword of the content from the knowledge database. Proposed work uses the search engine based on clustering and text mining. Keywords-Text mining, Clustering, K-means Algorithm, Enhanced K-means Algorithm.