Clustering is a way to group data together, but finding the best method can be tricky. A new algorithm called DECA uses "similar energy" to improve on existing methods and create high-quality clusters without needing to know the number of clusters beforehand. Tests show that DECA is more accurate than other popular algorithms like K-means and Nearest Neighbor.