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  2. Multiple correspondence analysis - Wikipedia

    en.wikipedia.org/wiki/Multiple_correspondence...

    The Burt table is the symmetric matrix of all two-way cross-tabulations between the categorical variables, and has an analogy to the covariance matrix of continuous variables. Analyzing the Burt table is a more natural generalization of simple correspondence analysis , and individuals or the means of groups of individuals can be added as ...

  3. List of programming languages by type - Wikipedia

    en.wikipedia.org/wiki/List_of_programming...

    CLIST (MVS Command List) CMS EXEC; csh and tcsh (by Bill Joy UC Berkeley) DIGITAL Command Language CLI for VMS (DEC, Compaq, HP) DOS batch language (for IBM PC DOS, pre-Windows) EXEC 2; Expect (a Unix automation and test tool) fish (a Unix shell) Hamilton C shell (a C shell for Windows) ksh (a standard Unix shell, written by David Korn) Nushell ...

  4. Array (data type) - Wikipedia

    en.wikipedia.org/wiki/Array_(data_type)

    In computer science, array is a data type that represents a collection of elements (values or variables), each selected by one or more indices (identifying keys) that can be computed at run time during program execution. Such a collection is usually called an array variable or array value. [1]

  5. List of analyses of categorical data - Wikipedia

    en.wikipedia.org/wiki/List_of_analyses_of...

    This is a list of statistical procedures which can be used for the analysis of categorical data, also known as data on the nominal scale and as categorical variables.

  6. Monad (functional programming) - Wikipedia

    en.wikipedia.org/wiki/Monad_(functional_programming)

    bind: int * string-> (int-> int * string)-> int * string bind takes in an integer and string tuple, then takes in a function (like foo ) that maps from an integer to an integer and string tuple. Its output is an integer and string tuple, which is the result of applying the input function to the integer within the input integer and string tuple.

  7. Loss functions for classification - Wikipedia

    en.wikipedia.org/wiki/Loss_functions_for...

    In machine learning and mathematical optimization, loss functions for classification are computationally feasible loss functions representing the price paid for inaccuracy of predictions in classification problems (problems of identifying which category a particular observation belongs to). [1]

  8. Categorical variable - Wikipedia

    en.wikipedia.org/wiki/Categorical_variable

    A categorical variable that can take on exactly two values is termed a binary variable or a dichotomous variable; an important special case is the Bernoulli variable. Categorical variables with more than two possible values are called polytomous variables; categorical variables are often assumed to be polytomous unless otherwise specified.

  9. Forth (programming language) - Wikipedia

    en.wikipedia.org/wiki/Forth_(programming_language)

    We have an array of 256 bytes, all different. Every time the array is used it changes by swapping two bytes. The swaps are controlled by counters i and j, each initially 0. To get a new i, add 1. To get a new j, add the array byte at the new i. Exchange the array bytes at i and j. The code is the array byte at the sum of the array bytes at i ...