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  2. Data binning - Wikipedia

    en.wikipedia.org/wiki/Data_binning

    Data binning, also called data discrete binning or data bucketing, is a data pre-processing technique used to reduce the effects of minor observation errors. The original data values which fall into a given small interval, a bin , are replaced by a value representative of that interval, often a central value ( mean or median ).

  3. Freedman–Diaconis rule - Wikipedia

    en.wikipedia.org/wiki/Freedman–Diaconis_rule

    With the factor 2 replaced by approximately 2.59, the Freedman–Diaconis rule asymptotically matches Scott's Rule for data sampled from a normal distribution. Another approach is to use Sturges's rule : use a bin width so that there are about 1 + log 2 ⁡ n {\displaystyle 1+\log _{2}n} non-empty bins, however this approach is not recommended ...

  4. Binning - Wikipedia

    en.wikipedia.org/wiki/Binning

    Data binning: a data pre-processing technique. Binning (metagenomics): the process of classifying reads into different groups or taxonomies. Product binning: in semiconductor device fabrication, the process of categorizing finished products. Pixel binning: the process of combining charge from adjacent pixels in a CCD image sensor during readout.

  5. Discretization of continuous features - Wikipedia

    en.wikipedia.org/wiki/Discretization_of...

    Typically data is discretized into partitions of K equal lengths/width (equal intervals) or K% of the total data (equal frequencies). [1] Mechanisms for discretizing continuous data include Fayyad & Irani's MDL method, [2] which uses mutual information to recursively define the best bins, CAIM, CACC, Ameva, and many others [3]

  6. Grouped data - Wikipedia

    en.wikipedia.org/wiki/Grouped_data

    The above data can be grouped in order to construct a frequency distribution in any of several ways. One method is to use intervals as a basis. The smallest value in the above data is 8 and the largest is 34. The interval from 8 to 34 is broken up into smaller subintervals (called class intervals). For each class interval, the number of data ...

  7. Data binding - Wikipedia

    en.wikipedia.org/wiki/Data_binding

    In computer programming, data-binding is a general technique that binds data sources from the provider and consumer together and synchronizes them. This is usually done with two data/information sources with different languages, as in XML data binding and UI data binding .

  8. Binning (metagenomics) - Wikipedia

    en.wikipedia.org/wiki/Binning_(Metagenomics)

    Binning of metagenomic data from various habitats might significantly extend the tree of life. Such approach on globally available metagenomes binned 52 515 individual microbial genomes and extended diversity of bacteria and archaea by 44%.

  9. Bin - Wikipedia

    en.wikipedia.org/wiki/BIN

    Data binning, a data pre-processing technique; Bin (computational geometry), space partitioning data structure to enable fast region queries and nearest neighbor search;