Distance
Distance is a numerical measurement of how far apart objects or points are. In data science, distance is often used as a metric to measure similarity or dissimilarity between data points. Euclidean distance is the most commonly used distance metric, which calculates the straight-line distance between two points in a multidimensional space. Other distance metrics include Manhattan distance, Minkowski distance, and cosine distance. Distance is a fundamental concept in clustering, classification, and anomaly detection algorithms, where it is used to group similar data points together or identify outliers based on their distance from the rest of the data.
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