how to reduce dimensionality of features by usin pca?
3 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
Now I can apply PCA in Matlab by using [coeff, score, latent, ~, explained] = pca(X);and size of X 20*20, And now my confusion begins. Should I take the first column of coeff or of score or other to get reconstructed features by pca?
0 comentarios
Respuestas (1)
Ver también
Categorías
Más información sobre Dimensionality Reduction and Feature Extraction en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!