Which AI technique is often used for clustering data into groups with similar characteristics?Question 11Answera.Reinforcement Learningb.Regressionc.Unsupervised Learningd.Supervised Learning
Question
Which AI technique is often used for clustering data into groups with similar characteristics?Question 11Answera.Reinforcement Learningb.Regressionc.Unsupervised Learningd.Supervised Learning
Solution
The AI technique that is often used for clustering data into groups with similar characteristics is c. Unsupervised Learning.
Here's why:
Unsupervised Learning is a type of machine learning that looks for previously undetected patterns in a data set with no pre-existing labels and with a minimum of human supervision. In contrast to supervised learning that usually makes use of human-labeled data, unsupervised learning, also known as self-organization allows for modeling of probability densities over inputs.
It's particularly suited to the task of clustering, where you want to group data into subsets with similar characteristics. This is because it can detect patterns and relationships in the data that might not be immediately apparent, or that might be based on a combination of characteristics across many dimensions.
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