PCA (course 1/3): description of the method in a French way

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This video details PCA in a French way. The objective is to describe the dataset.
On which data Principal component analysis can be performed?
What are the objectives of the method?
  1. François Husson
  2. François Husson
  3. Husson
  4. agrocampus
  5. PCA
  6. principal component analysis
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Комментарии
Автор

Dear François Husson
, you are a GREAT professor!
Thanks a lot!
Cheers (with a nice french wine ;))!

kaltbier-cervejamesmo.
Автор

would you kindly make an equivalent series in "the french way" but for the case of ICA algorithm, at least geometrically speaking ?
merci

mikiallen
Автор

Hi, I have 2 categorical variables in my data for acoustic features from 8 animals. The data has 701 rows for 8 acoustic variables. The two categorical variables are Individual's "ID" and the "experiment" they belonged to. So "ID" has names of the individuals (total 8) and "experiment" has 3 groups - control, drug A and drug B. I wanted to generate an individuals factor map where I could show both categorical variables by different color or shape. Say showing "ID" (the 8 animal) by different colors and showing groups by different shapes. How can I do it in Factominer or factoshiny.
Thanks

SandeepKumar-xohv
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