FAMD

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

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