The Curse of Dimensionality refers to the phenomenon where data becomes sparse and distances become less meaningful as the number of features grows. High-dimensional data can make clustering, nearest neighbor searches, and other tasks extremely challenging. Dimensionality reduction techniques are often used to address this issue.