Which of the following are related to compressing a dataset's large number of features down to two for visualization purposes.
A) dimensionality reduction
B) TSNE estimator
C) PCA estimator
D) All of the above.

Question

Quizplus · Accepted Answer

All of the provided choices are related to compressing a dataset's large number of features down to two for visualization purposes. Dimensionality reduction refers to any approach that reduces the number of dimensions in a dataset, while t-SNE (t-Distributed Stochastic Neighbor Embedding) and PCA (Principal Component Analysis) are specific methods for achieving this reduction. Both t-SNE and PCA are commonly used for visualizing high-dimensional datasets in two-dimensional space.

Which of the Following Are Related to Compressing a Dataset's