An aggregated data clustering method and system. First, the data points to be clustered and a size parameter are received. The size parameter specifies the number of data points to be moved at one time in the clustering algorithm. Next, the data points are clustered by using an aggregated clustering algorithm (e.g., aggregated local K-Means clustering algorithm) and the size parameter to generate clustered results. Then, a determination is made whether of not the clustered results are satisfactory. If the clustered results are satisfactory, the clustering is stopped. Otherwise, a modified or refined parameter size is received. Then, clustering is performed on the clustered results generated previously by using the aggregated clustering algorithm and the revised or refined parameter size. The steps of determining, modifying the parameter size, and aggregated clustering are repeated until satisfactory clustering results are achieved.