Which of the following is an internal method for evaluating alternative clusterings produced by K-Means algorithm?单项选择题

Compare the sum of squared error differences between instances and their corresponding cluster centers for each alternative clustering.

Use a production rule generator to compare the rule sets generated for each clustering.

Compute and compare class resemblance scores for the clusters formed by each clustering.

Create and compare the decision trees determined by each alternative clustering.