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2. Histogram - Wikipedia

   en.wikipedia.org/wiki/Histogram

   The total area of a histogram used for probability density is always normalized to 1. If the length of the intervals on the x-axis are all 1, then a histogram is identical to a relative frequency plot. Histograms are sometimes confused with bar charts. In a histogram, each bin is for a different range of values, so altogether the histogram ...

3. Freedman–Diaconis rule - Wikipedia

   en.wikipedia.org/wiki/Freedman–Diaconis_rule

   For a set of empirical measurements sampled from some probability distribution, the Freedman–Diaconis rule is designed approximately minimize the integral of the squared difference between the histogram (i.e., relative frequency density) and the density of the theoretical probability distribution.

4. 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.

5. Frequency (statistics) - Wikipedia

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

   A histogram is a representation of tabulated frequencies, shown as adjacent rectangles or squares (in some of situations), erected over discrete intervals (bins), with an area proportional to the frequency of the observations in the interval. The height of a rectangle is also equal to the frequency density of the interval, i.e., the frequency ...

6. Sturges's rule - Wikipedia

   en.wikipedia.org/wiki/Sturges's_rule

   Sturges's rule [1] is a method to choose the number of bins for a histogram.Given observations, Sturges's rule suggests using ^ = + ⁡ bins in the histogram. This rule is widely employed in data analysis software including Python [2] and R, where it is the default bin selection method.

7. Histogram equalization - Wikipedia

   en.wikipedia.org/wiki/Histogram_equalization

   Histogram equalization will work the best when applied to images with much higher color depth than palette size, like continuous data or 16-bit gray-scale images. There are two ways to think about and implement histogram equalization, either as image change or as palette change.

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   mail.aol.com/d?reason=invalid_cred

   Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

9. Shape of a probability distribution - Wikipedia

   en.wikipedia.org/wiki/Shape_of_a_probability...

   Considerations of the shape of a distribution arise in statistical data analysis, where simple quantitative descriptive statistics and plotting techniques such as histograms can lead on to the selection of a particular family of distributions for modelling purposes. The normal distribution, often called the "bell curve" Exponential distribution