Unsupervised learning

In the realm of machine learning, unsupervised learning refers to the use of algorithms to identify patterns in data sets that have not been labeled. This method, also known as unsupervised machine learning, is particularly useful in situations where the collected data doesn't have pre-existing labels. It is often used for clustering, anomaly detection, and dimensionality reduction.