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2. Histogram matching - Wikipedia

   en.wikipedia.org/wiki/Histogram_matching

   An example of histogram matching In image processing , histogram matching or histogram specification is the transformation of an image so that its histogram matches a specified histogram. [ 1 ] The well-known histogram equalization method is a special case in which the specified histogram is uniformly distributed .

3. Box plot - Wikipedia

   en.wikipedia.org/wiki/Box_plot

   Figure 2. Box-plot with whiskers from minimum to maximum Figure 3. Same box-plot with whiskers drawn within the 1.5 IQR value. A boxplot is a standardized way of displaying the dataset based on the five-number summary: the minimum, the maximum, the sample median, and the first and third quartiles.

4. Probability distribution fitting - Wikipedia

   en.wikipedia.org/wiki/Probability_distribution...

   Probability distribution fitting or simply distribution fitting is the fitting of a probability distribution to a series of data concerning the repeated measurement of a variable phenomenon.

5. Matching (graph theory) - Wikipedia

   en.wikipedia.org/wiki/Matching_(graph_theory)

   In some literature, the term complete matching is used. In the above figure, only part (b) shows a perfect matching. A perfect matching is also a minimum-size edge cover. Thus, the size of a maximum matching is no larger than the size of a minimum edge cover: ⁠ () ⁠. A graph can only contain a perfect matching when the graph has an even ...

6. Image histogram - Wikipedia

   en.wikipedia.org/wiki/Image_histogram

   An image histogram is a type of histogram that acts as a graphical representation of the tonal distribution in a digital image. [1] It plots the number of pixels for each tonal value. By looking at the histogram for a specific image a viewer will be able to judge the entire tonal distribution at a glance.

7. Violin plot - Wikipedia

   en.wikipedia.org/wiki/Violin_plot

   Violin plots are similar to box plots, except that they also show the probability density of the data at different values, usually smoothed by a kernel density estimator.A violin plot will include all the data that is in a box plot: a marker for the median of the data; a box or marker indicating the interquartile range; and possibly all sample points, if the number of samples is not too high.

8. Graph matching - Wikipedia

   en.wikipedia.org/wiki/Graph_matching

   The case of exact graph matching is known as the graph isomorphism problem. [1] The problem of exact matching of a graph to a part of another graph is called subgraph isomorphism problem . Inexact graph matching refers to matching problems when exact matching is impossible, e.g., when the number of vertices in the two graphs are different.

9. Kőnig's theorem (graph theory) - Wikipedia

   en.wikipedia.org/wiki/Kőnig's_theorem_(graph...

   An example of a bipartite graph, with a maximum matching (blue) and minimum vertex cover (red) both of size six. In the mathematical area of graph theory, Kőnig's theorem, proved by Dénes Kőnig (), describes an equivalence between the maximum matching problem and the minimum vertex cover problem in bipartite graphs.