Artificial Intelligence, Machine Learning, Software Development, Information Technology, Statistics.
each eigenvector will have 4 rows. 4 eigenvectors based on 4 eigenvalues. We call it as feature vector. Feature vector & principal components Once we compute the eigenvectors based on the eigenvalues, we can form the feature vector as shown in the above table. Eigenvectors are our principal