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  2. Euclidean distance - Wikipedia

    en.wikipedia.org/wiki/Euclidean_distance

    Euclidean distance. In mathematics, the Euclidean distance between two points in Euclidean space is the length of the line segment between them. It can be calculated from the Cartesian coordinates of the points using the Pythagorean theorem, and therefore is occasionally called the Pythagorean distance. These names come from the ancient Greek ...

  3. Hausdorff distance - Wikipedia

    en.wikipedia.org/wiki/Hausdorff_distance

    Hausdorff distance. In mathematics, the Hausdorff distance, or Hausdorff metric, also called Pompeiu–Hausdorff distance, [1][2] measures how far two subsets of a metric space are from each other. It turns the set of non-empty compact subsets of a metric space into a metric space in its own right. It is named after Felix Hausdorff and Dimitrie ...

  4. Statistical distance - Wikipedia

    en.wikipedia.org/wiki/Statistical_distance

    Statistical distance. In statistics, probability theory, and information theory, a statistical distance quantifies the distance between two statistical objects, which can be two random variables, or two probability distributions or samples, or the distance can be between an individual sample point and a population or a wider sample of points.

  5. Gower's distance - Wikipedia

    en.wikipedia.org/wiki/Gower's_distance

    Gower's distance. In statistics, Gower's distance between two mixed-type objects is a similarity measure that can handle different types of data within the same dataset and is particularly useful in cluster analysis or other multivariate statistical techniques. Data can be binary, ordinal, or continuous variables.

  6. Lagrange point - Wikipedia

    en.wikipedia.org/wiki/Lagrange_point

    The location of L 1 is the solution to the following equation, gravitation providing the centripetal force: = (+) + where r is the distance of the L 1 point from the smaller object, R is the distance between the two main objects, and M 1 and M 2 are the masses of the large and small object, respectively.

  7. Similarity measure - Wikipedia

    en.wikipedia.org/wiki/Similarity_measure

    Similarity measure. In statistics and related fields, a similarity measure or similarity function or similarity metric is a real-valued function that quantifies the similarity between two objects. Although no single definition of a similarity exists, usually such measures are in some sense the inverse of distance metrics: they take on large ...

  8. Inverse-square law - Wikipedia

    en.wikipedia.org/wiki/Inverse-square_law

    The force of attraction or repulsion between two electrically charged particles, in addition to being directly proportional to the product of the electric charges, is inversely proportional to the square of the distance between them; this is known as Coulomb's law. The deviation of the exponent from 2 is less than one part in 10 15. [8]

  9. Vincenty's formulae - Wikipedia

    en.wikipedia.org/wiki/Vincenty's_formulae

    Vincenty's formulae. Vincenty's formulae are two related iterative methods used in geodesy to calculate the distance between two points on the surface of a spheroid, developed by Thaddeus Vincenty (1975a). They are based on the assumption that the figure of the Earth is an oblate spheroid, and hence are more accurate than methods that assume a ...