hard clustering

Hard clustering is a method of organizing data into distinct groups, where each data point is assigned to exactly one cluster. Imagine sorting different types of fruits into separate baskets; each fruit belongs to only one basket. This technique helps identify natural groupings within data, making it easier to analyze patterns. For example, in customer segmentation, hard clustering can separate customers into specific categories based on their behavior, assisting businesses in targeted marketing. It’s a straightforward approach that ensures clear, exclusive groupings, making data more understandable and manageable.