Crowdly
Add to Chrome
A dataset has 3 features. After PCA, the eigenvalues of the covariance matrix ar...
✅ The verified answer to this question is available below. Our community-reviewed solutions help you understand the material better.
A dataset has 3 features. After PCA, the eigenvalues of the covariance matrix are: lambda_1 = 8, lambda_2 = 4, lambda_3 = 2. What percentage of variance is explained by the first two principal components (rounded to the nearest whole number)?
0%
0%
0%
100%