The correct answer is C. unsupervised learning.
Unsupervised learning is a type of machine learning in which the algorithm is not given any labels or training data. Instead, the algorithm must find patterns in the data on its own. This type of learning is often used for tasks such as clustering, dimensionality reduction, and anomaly detection.
In the case of the telecommunication company, they want to segment their customers into distinct groups. This is an example of clustering, which is a type of unsupervised learning. The algorithm will find patterns in the data and group the customers together based on those patterns.
Supervised learning is a type of machine learning in which the algorithm is given labeled training data. The algorithm then learns to map
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