Many clustering algorithms that automatically determine the number of clusters claim that this is an advantage. List two situations in which this is not the case

The list of those two situations is given below.

Explanation:

Case 1:

Yet another condition for manual cluster formation that wasn't an improvement would be whenever the number of observations measured is higher than even the machine can accommodate.  

Case 2:

The second scenario which isn't an improvement whenever the original data is recognized for automated cluster analysis, and therefore also implementing the algorithms doesn't generate any extra details.

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