IJIRCSTJournal International Journal of Innovative Research in Computer Science and Technology I S Volume 2 Issue 3 Computer Science & Engineering English May - June 2014 N N Y 2019 11 15 Computer Sciences Clustering Based Algorithm for Efficient and Effective Feature Selection Performance English Y 7 12 K. Revathi, English Y T. Kalai Selvi English N Process with high dimensional data is enormous issue in data mining and machine learning applications. Feature selection is the mode of recognize the good number of features that produce well-suited outcome as the unique entire set of features. Feature selection process constructs a pathway to reduce the dimensionality and time complexity and also improve the accuracy level of classifier. In this paper, we use an alternative approach, called affinity propagation algorithm for effective and efficient feature selection and clustering process. The endeavor is to improve the performance in terms accuracy and time complexity. English Classification, Data mining, Feature selection, Feature clustering https://ijircst.org/abstract.php?article_id=53