Distance metrics are mathematical formulations used to quantify the similarity or dissimilarity between data points in a given space, which is crucial for tasks such as clustering, classification, and dimensionality reduction. The choice of distance metric can significantly impact the performance of algorithms, making it essential to select a metric that aligns with the data characteristics and the specific task requirements.