For implementing dimensional reduction, which method would be most effective when dealing with highly nonlinear data?

C1000-144 0 Comments

For implementing dimensional reduction, which method would be most effective when dealing with highly nonlinear data?
A . Linear Discriminant Analysis (LDA)
B . PCA
C . t-Distributed Stochastic Neighbor Embedding (t-SNE)
D . Factor Analysis

Answer: C

Latest C1000-144 Practice Questions with 125 Q&As

Updated Study Material | Instant Download | Detailed Answers and Explanations

Instant Download C1000-144 PDF     C1000-144 Questions Online Training
Subscribe
Notify of
guest
0 Comments