Across
- 4. PCA is great for data that has a lot of
- 5. this is a field that uses PCA and deals with the genes of things
- 7. this matrix is used to compute eigenvalues and eigenvectors
- 8. interpretating data is difficult with ____ amounts of data
- 9. With a large amount of explanatory variables there is a greater chance of this error occurring
- 10. PCA transformed variables are
Down
- 1. this is the way that "information" is measured through
- 2. the first step is to _________ the data
- 3. PCA aims to capture the ____________ of variance
- 6. this plot is used to assess the significance of each principal component