The Ward's method is the use of a different algorithm to minimize the dissimilarity within clusters by using error sum of squares.

Name: The Ward's method is the use of a different algorithm to minimize the dissimilarity within clusters by using error sum of squares.
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Ward's method minimizes the within-cluster variance, or equivalently, the error sum of squares, by choosing the pair of clusters to merge at each step that leads to the minimum increase in total within-cluster variance.

The Ward's Method Is the Use of a Different Algorithm