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FAMD

fabien_couprie profile image
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Nov 15, 2021 2:21 AM
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Factor analysis of mixed data - allow aaplying a PCA kernel to mixed datas numericals and strings. Please note that you have to remove string variables with too many categories such as individual idents before treatment. Usually this treatment is used before a clustering method as Kmeans. https://en.wikipedia.org/wiki/Factor_analysis_of_mixed_data

Component details

Input ports
  1. Type: Table
    Port 1
    table with columns to be converted
Output ports
  1. Type: Table
    coordinates of variables
    coordinates of variables
  2. Type: Table
    coordinates of individuals
    coordinates of individuals
  3. Type: Table
    covariance matrix
    covariance matrix
  4. Type: Table
    spectral decomposition
    spectral decomposition

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Created with KNIME Analytics Platform version 4.4.2
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This component does not have nodes, extensions, nested components and related workflows

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