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This thread describes how to plot thousands of Obsidian notes into a 3D semantic embedding space using model2vec and UMAP to reveal hidden patterns and blind spots in one's thinking.
ScaleMAP is a new nonlinear dimensionality reduction method that preserves local density and neighborhood structure by rescaling embedding distances based on original-space local radii, achieving better density preservation than DensMAP while maintaining UMAP-level neighborhood preservation.