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  2. Gower's distance - Wikipedia

    en.wikipedia.org/wiki/Gower's_distance

    Data can be binary, ordinal, or continuous variables. It works by normalizing the differences between each pair of variables and then computing a weighted average of these differences. The distance was defined in 1971 by Gower [1] and it takes values between 0 and 1 with smaller values indicating higher similarity.

  3. Kernel smoother - Wikipedia

    en.wikipedia.org/wiki/Kernel_smoother

    The idea of the kernel average smoother is the following. For each data point X 0, choose a constant distance size λ (kernel radius, or window width for p = 1 dimension), and compute a weighted average for all data points that are closer than to X 0 (the closer to X 0 points get higher weights).

  4. Weighted arithmetic mean - Wikipedia

    en.wikipedia.org/wiki/Weighted_arithmetic_mean

    However, this does not account for the difference in number of students in each class (20 versus 30); hence the value of 85 does not reflect the average student grade (independent of class). The average student grade can be obtained by averaging all the grades, without regard to classes (add all the grades up and divide by the total number of ...

  5. Weighted Voronoi diagram - Wikipedia

    en.wikipedia.org/wiki/Weighted_Voronoi_diagram

    In a multiplicatively weighted Voronoi diagram, the distance between a point and a site is divided by the (positive) weight of the site. [1] In the plane under the ordinary Euclidean distance , the multiplicatively weighted Voronoi diagram is also called circular Dirichlet tessellation [ 2 ] [ 3 ] and its edges are circular arcs and straight ...

  6. Inverse distance weighting - Wikipedia

    en.wikipedia.org/wiki/Inverse_distance_weighting

    is a simple IDW weighting function, as defined by Shepard, [3] x denotes an interpolated (arbitrary) point, x i is an interpolating (known) point, is a given distance (metric operator) from the known point x i to the unknown point x, N is the total number of known points used in interpolation and is a positive real number, called the power ...

  7. 8 Overlooked Ways To Fund Your Holiday Purchases

    www.aol.com/finance/8-overlooked-ways-fund...

    Visits shouldn’t take more than 15 minutes, and you could potentially do at least two per hour depending on driving times — more if you book multiple families within the same neighborhood ...

  8. When’s the best time to shop for car insurance? (Hint: It ...

    www.aol.com/finance/best-time-to-shop-for-car...

    When to shop for car insurance. Beyond renewal time, major life changes and unexpected circumstances often call for a fresh look at your insurance options.

  9. Empirical Bayes method - Wikipedia

    en.wikipedia.org/wiki/Empirical_Bayes_method

    The resulting point estimate ⁡ is therefore like a weighted average of the sample mean ¯ and the prior mean =. This turns out to be a general feature of empirical Bayes; the point estimates for the prior (i.e. mean) will look like a weighted averages of the sample estimate and the prior estimate (likewise for estimates of the variance).