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  2. 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]

  3. Discretization - Wikipedia

    en.wikipedia.org/wiki/Discretization

    In applied mathematics, discretization is the process of transferring continuous functions, models, variables, and equations into discrete counterparts. This process is usually carried out as a first step toward making them suitable for numerical evaluation and implementation on digital computers.

  4. 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 ).

  5. Feature (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Feature_(machine_learning)

    In machine learning and pattern recognition, a feature is an individual measurable property or characteristic of a data set. [1] Choosing informative, discriminating, and independent features is crucial to produce effective algorithms for pattern recognition , classification , and regression tasks.

  6. Discrete mathematics - Wikipedia

    en.wikipedia.org/wiki/Discrete_mathematics

    Discrete mathematics is the study of mathematical structures that can be considered "discrete" (in a way analogous to discrete variables, having a bijection with the set of natural numbers) rather than "continuous" (analogously to continuous functions). Objects studied in discrete mathematics include integers, graphs, and statements in logic.

  7. Category:Statistics stubs - Wikipedia

    en.wikipedia.org/wiki/Category:Statistics_stubs

    Data binning; Data generating process; Decile; DeFries–Fulker regression; Discrepancy function; Discretization of continuous features; Displaced Poisson distribution; Dominating decision rule; Double counting (fallacy) Double descent; Dynamic Bayesian network; Dynamic contagion process

  8. White House officials bristle as the courts throttle parts of ...

    www.aol.com/white-house-officials-bristle-courts...

    The nation may be edging closer to a constitutional crisis as senior White House officials bristle over a string of court orders stymieing Trump’s agenda.

  9. List of statistics articles - Wikipedia

    en.wikipedia.org/wiki/List_of_statistics_articles

    Aggregate data; Aggregate pattern ... Continuous distribution ... Discretization of continuous features; Discriminant function analysis; Discriminative model ...