Euclid Distance
Euclidean Distance is a measure of the distance between two points in a multi-dimensional space. It is calculated as the square root of the sum of the squared differences between the corresponding coordinates of the two points. In other words, it is the straight-line distance between two points in a space. Euclidean Distance is widely used in various fields, including data science, machine learning, and computer vision. It is used to measure the similarity between two data points, cluster analysis, and classification algorithms. It is also used in feature extraction and image processing.
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