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  2. Centroid - Wikipedia

    en.wikipedia.org/wiki/Centroid

    The centroid of a ring or a bowl, for example, lies in the object's central void. If the centroid is defined, it is a fixed point of all isometries in its symmetry group . In particular, the geometric centroid of an object lies in the intersection of all its hyperplanes of symmetry .

  3. List of centroids - Wikipedia

    en.wikipedia.org/wiki/List_of_centroids

    The following is a list of centroids of various two-dimensional and three-dimensional objects. The centroid of an object X {\displaystyle X} in n {\displaystyle n} - dimensional space is the intersection of all hyperplanes that divide X {\displaystyle X} into two parts of equal moment about the hyperplane.

  4. Pappus's centroid theorem - Wikipedia

    en.wikipedia.org/wiki/Pappus's_centroid_theorem

    The theorem applied to an open cylinder, cone and a sphere to obtain their surface areas. The centroids are at a distance a (in red) from the axis of rotation.. In mathematics, Pappus's centroid theorem (also known as the Guldinus theorem, Pappus–Guldinus theorem or Pappus's theorem) is either of two related theorems dealing with the surface areas and volumes of surfaces and solids of ...

  5. k-means clustering - Wikipedia

    en.wikipedia.org/wiki/K-means_clustering

    Hartigan and Wong's method [9] provides a variation of k-means algorithm which progresses towards a local minimum of the minimum sum-of-squares problem with different solution updates. The method is a local search that iteratively attempts to relocate a sample into a different cluster as long as this process improves the objective function.

  6. Lloyd's algorithm - Wikipedia

    en.wikipedia.org/wiki/Lloyd's_algorithm

    Lloyd's algorithm starts by an initial placement of some number k of point sites in the input domain. In mesh-smoothing applications, these would be the vertices of the mesh to be smoothed; in other applications they may be placed at random or by intersecting a uniform triangular mesh of the appropriate size with the input domain.

  7. Centroidal Voronoi tessellation - Wikipedia

    en.wikipedia.org/wiki/Centroidal_Voronoi...

    Centroidal Voronoi tessellations are useful in data compression, optimal quadrature, optimal quantization, clustering, and optimal mesh generation. [3]A weighted centroidal Voronoi diagrams is a CVT in which each centroid is weighted according to a certain function.

  8. Here are things Trump has promised to carry out on Day 1 of ...

    www.aol.com/11-things-trump-promised-carry...

    President-elect Donald Trump spent the past two years on the campaign trail making more than a dozen promises about what he would enact on his first day in office.

  9. Geographical centre - Wikipedia

    en.wikipedia.org/wiki/Geographical_centre

    One example of a refined approach using an azimuthal equidistant projection, also potentially incorporating an iterative process, was described by Peter A. Rogerson in 2015. [3] [4] The abstract says "the new method minimizes the sum of squared great circle distances from all points in the region to the center". However, as that property is ...