Which of the following is NOT an attribute of Unsupervised Learning?

It is useful for clustering data, where data is grouped according to how similar it is to its neighbors and dissimilar to everything else

Takes data and rules as input and uses these inputs to develop an algorithm that will give us an answer

It is useful for finding hidden patterns and or groupings in data and can be used to differentiate normal behavior with outliers such as fraudulent activity

The algorithm ingests unlabeled data, draws inferences, and finds patterns from unstructured data

Correct
This statement is not an attribute of either Machine Learning or Unsupervised Learning. Machine Learning techniques such as unsupervised learning are not fed rules. Rather they determine the rules from data.

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