Data Preprocessing II Quiz

To avoid the curse of dimensionality (correct)

To increase the number of irrelevant features

To complicate data mining

To visualize data in higher dimensions

Adds noise to the data

Increases the dimensionality of data

Transforms high-dimensional data into lower dimensions while retaining information (correct)

Has no impact on data dimensionality

Irrelevant features

The largest amount of variation (correct)

The smallest amount of variation

Noise

<p>They are projected onto a much smaller space, resulting in dimensionality reduction</p> Signup and view all the answers

<p>Reduce time and space required</p> Signup and view all the answers