An improved clustering algorithm based on density and shared nearest neighbor

This paper proposes a new definition method of the shared nearest neighbor and applies it to the clustering algorithm based on the density. The new definition considers both the number of shared nearest neighbors and the distance between data objects to optimize the traditional standard. The improved clustering algorithm is applied to the real dataset Iris. The experiment shows that the improved algorithm has the more accurate clustering result.