Iris data are rather very complex and it is very difficult to predict the behavior of runoff based on temporal data sets. This paper has been proposes a Modified approach K-Means clustering and enhanced pca algorithm which executes K-means algorithm this Algorithm approach is better in the process in large number of clusters and its time of execution is comparisons base on K-Mean,DBSCAN algorithm approach. If the process experimental result is using the proposed algorithm it time of computation can be reduced with a group in runtime constructed data sets are very promising. Modified Approach of K Mean Algorithm and enhanced pca is better than K Mean and dbscan for Large Data Sets.
