ICA is often used to separate ________ that have been mixed into a single data source.
- Signals
- Components
- Patterns
- Features
Independent Component Analysis (ICA) is used to separate mixed components in a data source, making 'Components' the correct answer.
Loading...
Related Quiz
- When an agent overly focuses on actions that have previously yielded rewards without exploring new possibilities, it might fall into a ________ trap.
- How do residuals, the differences between the observed and predicted values, relate to linear regression?
- Dimensionality reduction techniques, like PCA and t-SNE, are essential when dealing with the ________ curse.
- How does the Random Forest algorithm handle the issue of overfitting seen in individual decision trees?
- How does ICA differ from Principal Component Analysis (PCA) in terms of data independence?