Ward's method We now consider Ward's method for hierarchical clustering In this case, the proximity between two clusters is defined as the increase in the sum of the squared error that results when they are merged Thus, this method uses the same objective function as k-means clustering. 8/20/2016 PATTERN RECOGNITIONWard’s method We now consider Ward’s method for hierarchical clustering. In this case, the proximity between two clusters is defined as the increase in the sum of the squared error that results when they are merged. Thus, this method uses the same objective function as k-means clustering. 8/20/2016 PATTERN RECOGNITION 62