Unsupervised learning is also know as: *1 pointclassificationregressionreinforcement learningexploratory learning

Unsupervised learning is primarily known as exploratory learning. This is because unsupervised learning involves discovering patterns, structures, or relationships in data without the use of labeled outcomes or explicit instructions. In this type of learning, algorithms attempt to identify inherent groupings or associations within the input data.

The other terms mentioned are associated with different types of machine learning:

• Classification: This is a supervised learning task where the algorithm learns from labeled data to categorize new input into predefined classes.
• Regression: This is also a supervised learning task focused on predicting continuous outcomes based on input data.
• Reinforcement Learning: This involves training models to make a sequence of decisions by receiving rewards or penalties based on their actions within an environment.

In summary, unsupervised learning is most accurately described as exploratory learning.