Enhancement of the Accuracy and QoS in Clustering of Data

Clustering is an important data mining and tool for examining data. The paper compares the two techniques of clustering, in the first technique only Cosine similarity is used and in the second technique Improved Rank Similarity (Cosine Similarity + Gaussian Similarity) is used. The results are compared with various parameters constituting the Accuracy in NetBeans and QoS parameters using AODV routing protocol. The simulation is done on MATLAB, a network is created and communication from source node to target node is noted.