Fuzzy clustering is a form of clustering in which each data point can belong to multiple clusters with varying degrees of membership, allowing for more nuanced grouping compared to hard clustering methods. This approach is particularly useful in situations where data points are not easily separable and can naturally belong to more than one category or group.