In the field of nanotechnology, researchers often deal with large and complex datasets. These can come from various sources such as scanning electron microscopy (SEM), atomic force microscopy (AFM), or spectroscopic techniques. t-SNE can help researchers visualize these high-dimensional datasets, making it easier to identify patterns, anomalies, and clusters that could be indicative of important nanostructural features or properties.
