Module 2_ 7. (t-SNE)T-distributed Stochastic Neighbourhood Embedding

Question 1

Explain t-SNE.

Answer 1

t-SNE stands for T-distributed Stichastic Neightbourhood Embedding
- State of the art/best dimension reduction technique
- PCA preserves global shape
- t-SNE preserves local shape

t-SNE preserves the distance between points in a neighbourhood and NOT the points which are far away.

Question 2

Explain the crowding problem in t-SNE.

Answer 2

We can see the crowding problem in an example of converting the points from 2D to 1D. Need to draw the diagram for proper explanation.