Interested to Buy Any Domain ? << Click Here >> for more details...
What is principal component analysis?
- 1 Answers
- 82 Views
- I also Faced
- E-Mail Answers
Answer / Shobhit Tyagi
Principal Component Analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components. This is done in such a way that the first principal component has the largest possible variance, and each succeeding component in turn has the largest variance among the subspaces orthogonal to the space spanned by the preceding components.
| Is This Answer Correct ? | 0 Yes | 0 No |
What are applications of recursion?
What is mean in r?
What is a white noise model and how can you simulate it using r?
What are Descriptive analysis methods in R?
What is more functions in r and name them?
How do you build and evaluate a random forest in r?
What are recommended systems in r?
What is a file in r?
Explain the significance of transpose in r language
What is meant by hierarchical Clustering in R?
How To Create New Variable In R Programming?
Name the functions which helps in importing data from other applications in R?
C 
