• Aerukonda Naveen kumar
• Dr . Gundupalli Charles Babu

Data streams are monstrous, quick changing, and limitless. Clustering is a conspicuous undertaking in mining data streams, which gather comparative protests in a cluster. With the point of picking a Re-Cluster subset of good features with respect to the objective ideas, feature subset determination is a compelling route for reducing dimensionality, removing irrelevant data, increasing learning precision, and enhancing result comprehensibility. While the proficiency concerns the time required to discover a re-cluster subset of features, the viability is related to the nature of the subset of features. We can propose clustering based subset choice calculation works in two stages. In the initial step, features are partitioned into clusters by utilizing chart theoretic clustering techniques. In the second step, the most representative feature that is unequivocally related to target classes is chosen from each cluster to shape a subset of features. To ensure the productivity of this calculation, we will utilize mRMR strategy with a heuristic calculation. A heuristic calculation utilized for tackling an issue more rapidly or for finding a rough re-clusters subset choice arrangement. Minimum Redundancy Maximum Relevance (mRMR) determination used to be more capable than the maximum relevance choice. It will give a powerful method to predict the proficiency and adequacy of the clustering based subset choice calculation.

Data mining, data stream clustering, density-based clustering

"IMPROVING PERFORMANCE IN MICRO CLUSTERS THROUGH CLUSTERING IN DATA STREAMS BASED ON SHARED DENSITY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.36-39, June-2018, Available :http://www.jetir.org/papers/JETIR1806247.pdf

"IMPROVING PERFORMANCE IN MICRO CLUSTERS THROUGH CLUSTERING IN DATA STREAMS BASED ON SHARED DENSITY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp36-39, June-2018, Available at : http://www.jetir.org/papers/JETIR1806247.pdf