t-sne

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.