Ward's Method

Ward's Method is a technique used in data analysis to group similar items together into clusters. It works by starting with each item as its own group and then merging the two groups that result in the smallest increase in overall variability or difference within groups. This process continues, combining groups to minimize internal differences, until a desired number of clusters is achieved. Essentially, Ward's Method aims to create clusters that are as internally similar as possible, optimizing the organization of data based on how close or related the items are.