APPLYING T-SNE DIMENSIONALITY REDUCTION VIA TCBSCAN

T-SNE serves as a powerful dimensionality reduction technique widely employed in data visualization. It effectively reduces high-dimensional data to two or three dimensions, enabling the exploration of complex relationships and patterns. However, traditional T-SNE can struggle with identifying distinct clusters within the reduced space. To address