Soft clustering

Soft clustering is a method used in data analysis where each data point can belong to multiple groups or categories simultaneously, with varying degrees of membership. Unlike hard clustering, which assigns each point to just one cluster, soft clustering recognizes that real-world data often doesn't fit neatly into distinct groups. For example, a person might be partly interested in both sports and music, so soft clustering would assign probabilities showing their connection to each interest. This approach provides a more nuanced understanding of complex data patterns, capturing overlaps and relationships more effectively.