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  2. Le Chahut - Wikipedia

    en.wikipedia.org/wiki/Le_Chahut

    Le Chahut is an oil painting on canvas measuring 170 by 141 cm (67 x 55 in). Seurat employed a Divisionist style, with pointillist dots of color. The work is dominated by a color scheme that tends toward the red end of the spectrum, of earth tones that draw from a palette of browns, tans, warm grays, and blues, interspersed with not just the primary colors (reds and yellows), nor even with the ...

  3. Georges Seurat - Wikipedia

    en.wikipedia.org/wiki/Georges_Seurat

    Seurat was born on 2 December 1859 in Paris, at 60 rue de Bondy (now rue René Boulanger). The Seurat family moved to 136 boulevard de Magenta (now 110 boulevard de Magenta) in 1862 or 1863. [9]

  4. Claude-Ambroise Seurat - Wikipedia

    en.wikipedia.org/wiki/Claude-Ambroise_Seurat

    Claude-Ambroise Seurat (10 April 1797 [1] or 4 April 1798 [2] – after 1833 [2]) was a freak show attraction from Troyes, France. He was known as "the anatomical man or the living skeleton" ( French : l'homme anatomique ou le squelette vivant ) due to his extraordinarily low body weight.

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  6. Models (painting) - Wikipedia

    en.wikipedia.org/wiki/Models_(painting)

    Models is a notable example of Pointillism, which refers to painting through a series of colored dots that together make up an image. [4]In an article written by Norma Broude in the Art Bulletin, she compares Pointillism to photo printing in the 1880s France.

  7. Accumulation point - Wikipedia

    en.wikipedia.org/wiki/Accumulation_point

    A sequence enumerating all positive rational numbers.Each positive real number is a cluster point.. Let be a subset of a topological space. A point in is a limit point or cluster point or accumulation point of the set if every neighbourhood of contains at least one point of different from itself.

  8. Clustering high-dimensional data - Wikipedia

    en.wikipedia.org/wiki/Clustering_high...

    Clustering high-dimensional data is the cluster analysis of data with anywhere from a few dozen to many thousands of dimensions.Such high-dimensional spaces of data are often encountered in areas such as medicine, where DNA microarray technology can produce many measurements at once, and the clustering of text documents, where, if a word-frequency vector is used, the number of dimensions ...

  9. Expectation–maximization algorithm - Wikipedia

    en.wikipedia.org/wiki/Expectation–maximization...

    The EM algorithm (and its faster variant ordered subset expectation maximization) is also widely used in medical image reconstruction, especially in positron emission tomography, single-photon emission computed tomography, and x-ray computed tomography. See below for other faster variants of EM.