t-Distributed Stochastic Neighbor Embedding
Description: t-SNE reduces dimensions for visualization by preserving the local structure of the data, making similar points stay close together.
Key Points:
- Effective for visualizing high-dimensional data.
- Computationally intensive.
- Does not preserve global structure well.
Applications: Visualizing clusters, exploring high-dimensional data, anomaly detection.