Innovated a novel grid-based clustering algorithm, which reduces the number of comparisons for forming clusters exponentially, resulting in reduction of the overall time complexity to 𝑛^(3/2) better than 𝑛^2 complexity of the traditional DBSCAN algorithm. Also, we acquired a significant computational speed up-to 58% over other improvements of the DBSCAN algorithm while maintaining 100% accuracy.