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  2. Scatterplot smoothing - Wikipedia

    en.wikipedia.org/wiki/Scatterplot_smoothing

    Scatterplots may be smoothed by fitting a line to the data points in a diagram. This line attempts to display the non-random component of the association between the variables in a 2D scatter plot. Smoothing attempts to separate the non-random behaviour in the data from the random fluctuations, removing or reducing these fluctuations, and ...

  3. Scatter plot - Wikipedia

    en.wikipedia.org/wiki/Scatter_plot

    A scatter plot, also called a scatterplot, scatter graph, scatter chart, scattergram, or scatter diagram, [2] is a type of plot or mathematical diagram using Cartesian coordinates to display values for typically two variables for a set of data. If the points are coded (color/shape/size), one additional variable can be displayed.

  4. Domain coloring - Wikipedia

    en.wikipedia.org/wiki/Domain_coloring

    Domain coloring plot of the function f(x) = ⁠ (x 2 − 1)(x − 2 − i) 2 / x 2 + 2 + 2i ⁠, using the structured color function described below. In complex analysis, domain coloring or a color wheel graph is a technique for visualizing complex functions by assigning a color to each point of the complex plane. By assigning points on the ...

  5. Autocorrelation - Wikipedia

    en.wikipedia.org/wiki/Autocorrelation

    For the operations involving function f, and assuming the height of f is 1.0, the value of the result at 5 different points is indicated by the shaded area below each point. Also, the symmetry of f is the reason g ∗ f {\\displaystyle g*f} and f ⋆ g {\\displaystyle f\\star g} are identical in this example.

  6. Volcano plot (statistics) - Wikipedia

    en.wikipedia.org/wiki/Volcano_plot_(statistics)

    This plot is colored such that those points having a fold-change less than 2 (log 2 = 1) are shown in gray. In statistics, a volcano plot is a type of scatter-plot that is used to quickly identify changes in large data sets composed of replicate data. [1] [2] It plots significance versus fold-change on the y and x axes, respectively.

  7. Scatter matrix - Wikipedia

    en.wikipedia.org/wiki/Scatter_matrix

    In multivariate statistics and probability theory, the scatter matrix is a statistic that is used to make estimates of the covariance matrix, for instance of the multivariate normal distribution. Definition

  8. General-purpose computing on graphics processing units

    en.wikipedia.org/wiki/General-purpose_computing...

    Most operations on the GPU operate in a vectorized fashion: one operation can be performed on up to four values at once. For example, if one color R1, G1, B1 is to be modulated by another color R2, G2, B2 , the GPU can produce the resulting color R1*R2, G1*G2, B1*B2 in one operation. This functionality is useful in graphics because almost every ...

  9. Matched filter - Wikipedia

    en.wikipedia.org/wiki/Matched_filter

    where [] is the input as a function of the independent variable , and [] is the filtered output. Though we most often express filters as the impulse response of convolution systems, as above (see LTI system theory ), it is easiest to think of the matched filter in the context of the inner product , which we will see shortly.