I implemented PCA. the loadings matrix has principal components as cols and variables in the row. Now, each of the principal component has equal weights or equal contributions from each of the variables(rows). What should I interpret from this?

2 vues (au cours des 30 derniers jours)

Anmol Pardeshi le 1 Mar 2018

0
Lien

Utiliser le lien direct vers cette question

https://fr.mathworks.com/matlabcentral/answers/385605-i-implemented-pca-the-loadings-matrix-has-principal-components-as-cols-and-variables-in-the-row-no

Commenté : Anmol Pardeshi le 2 Mar 2018

I implemented PCA. the loadings matrix has principal components as cols and variables in the row. Now, each of the principal component has equal weights or equal contributions from each of the variables(rows). What should I interpret from this?

0 commentaires
Afficher -2 commentaires plus anciensMasquer -2 commentaires plus anciens

Connectez-vous pour commenter.

Connectez-vous pour répondre à cette question.

Réponses (1)

Abhishek Ballaney le 1 Mar 2018

0
Lien

Utiliser le lien direct vers cette réponse

https://fr.mathworks.com/matlabcentral/answers/385605-i-implemented-pca-the-loadings-matrix-has-principal-components-as-cols-and-variables-in-the-row-no#answer_307781

https://in.mathworks.com/help/stats/pca.html

1 commentaire
Afficher -1 commentaires plus anciensMasquer -1 commentaires plus anciens

Anmol Pardeshi le 2 Mar 2018

what about the link? I did not find an explanation to my question.

Connectez-vous pour commenter.

Connectez-vous pour répondre à cette question.

Catégories

AI, Data Science, and Statistics Statistics and Machine Learning Toolbox Dimensionality Reduction and Feature Extraction

En savoir plus sur Dimensionality Reduction and Feature Extraction dans Help Center et File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by