Q.            can be adopted when it's necessary to categorize a large amount of data with a few complete examples or when there's the need to impose some constraints to a clustering algorithm. (Solved)

1. supervised

2. semi-supervised

3. reinforcement

4. clusters

  • b. semi-supervised
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