Similarity measures are mathematical tools used to quantify how alike two data objects are, which is crucial in fields like data mining, machine learning, and information retrieval. These measures can be based on various attributes such as distance, correlation, or even semantic meaning, and are fundamental in tasks such as clustering, classification, and recommendation systems.