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  2. Multiple correspondence analysis - Wikipedia

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

    It does this by representing data as points in a low-dimensional Euclidean space. The procedure thus appears to be the counterpart of principal component analysis for categorical data. [citation needed] MCA can be viewed as an extension of simple correspondence analysis (CA) in that it is applicable to a large set of categorical variables.

  3. Factor analysis of mixed data - Wikipedia

    en.wikipedia.org/wiki/Factor_analysis_of_mixed_data

    When data include both types of variables but the active variables being homogeneous, PCA or MCA can be used. Indeed, it is easy to include supplementary quantitative variables in MCA by the correlation coefficients between the variables and factors on individuals (a factor on individuals is the vector gathering the coordinates of individuals on a factorial axis); the representation obtained ...

  4. Correspondence analysis - Wikipedia

    en.wikipedia.org/wiki/Correspondence_analysis

    Correspondence analysis is performed on the data table, conceived as matrix C of size m × n where m is the number of rows and n is the number of columns. In the following mathematical description of the method capital letters in italics refer to a matrix while letters in italics refer to vectors .

  5. Multiple factor analysis - Wikipedia

    en.wikipedia.org/wiki/Multiple_factor_analysis

    Partial cloud gathers the individuals from the perspective of the single group (ie , =,): that is the cloud analysed in the separate factorial analysis (PCA or MCA) of the group . The superimposed representation of the N i j {\displaystyle N_{i}^{j}} provided by the MFA is similar in its purpose to that provided by the Procrustes analysis .

  6. Applications of sensitivity analysis to multi-criteria ...

    en.wikipedia.org/wiki/Applications_of...

    A sensitivity analysis may reveal surprising insights in multi-criteria decision making (MCDM) studies aimed to select the best alternative among a number of competing alternatives. This is an important task in decision making. In such a setting each alternative is described in terms of a set of evaluative criteria.

  7. Clarivate - Wikipedia

    en.wikipedia.org/wiki/Clarivate

    Clarivate Plc is a British-American publicly traded analytics company that operates a collection of subscription-based services, in the areas of bibliometrics and scientometrics; business and market intelligence, and competitive profiling for pharmacy and biotech, patents, and regulatory compliance; trademark protection, and domain and brand protection. [3]