Which type of data would be best suited for unsupervised learning techniques?

Unsupervised learning techniques are best suited for data that does not have predefined labels or categories. This type of data is often used for clustering, dimensionality reduction, and anomaly detection. Examples of data that would be best suited for unsupervised learning techniques include customer segmentation, image or text clustering, and outlier detection.

Unlabeled data