AI Fundamentals

Clustering is an unsupervised learning technique that groups data instances based on inherent similarities without relying on predefined labels or categories. Because it does not require prior knowledge of the data's classification, clustering is especially valuable for analyzing unknown or unlabeled data, dynamically forming groups (clusters) as patterns emerge in the data. This differs from classification, which requires labeled training data to assign instances to known categories, and is therefore not suitable for unknown data.