Cluster overlap refers to the situation in data clustering where distinct groups or clusters of data points have intersecting regions, making it challenging to clearly delineate boundaries between them. This overlap can complicate the interpretation of clustering results and affect the performance of clustering algorithms, requiring sophisticated techniques to effectively manage and analyze the data.