A research team is analyzing a large dataset with multiple features. They want to identify clusters or groups in the data. What visualization technique can help them visualize high-dimensional data in a 2D or 3D space?

When dealing with high-dimensional data and the need to visualize clusters or groups, t-Distributed Stochastic Neighbor Embedding (t-SNE) is a valuable tool. It can project high-dimensional data into a lower-dimensional space (2D or 3D) while preserving similarities between data points, making it easier to identify clusters.