Squared euclidean distance ward method instruction

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For clustering, Ward's method was used with the Squared Euclidean distance as the proximity measure. To evaluate the cluster solutions, group centroids forWard's method. 1. Compute sum of squared distances within clusters. 2. Aggregate clusters with the minimum increase in the overall sum of squares. Ward?s linkage is a method for hierarchical cluster analysis . The linkage function specifying the distance between two clusters is computed as the a weighted squared distances. The initial cluster distances in Ward's minimum variance method is defined as the squared Euclidean distance between points: A popular linkage criterion in agglomerative clustering is the Ward's method, which determines the Squared Euclidean distance as shown in Eq. (6.17). 'euclidean':. Usual square distance between the two vectors (2 norm). 'maximum':, Maximum distance between two components of x and y (