A review for the efficient clustering based on distance and the calculation of centroid

Clustering is helpful in different areas of interdisciplinary engineering. It helps in finding the alike element in a single label. The clustering efficiency depends on the centroid calculation and the nearest distance estimation. This paper's main aim is to review and analysis the method in finding the better clustering mechanism to extract the higher efficiency. In this regard different methods from the previous approaches have been discussed and their advantages have been highlighted. Based on the identified gaps, future suggestions have been listed for the efficient clustering mechanism.