Tag
dimensionality-reduction
- Aug 19, 2026 Why t-SNE Preserves Neighborhoods but Distorts Distances The embedding minimizes one asymmetric divergence between two similarity distributions, so it pulls true neighbours together while almost ignoring far pairs, which makes cluster sizes and inter-cluster gaps artefacts of the optimization. machine learning
- Jun 12, 2026 Principal Component Analysis Through the Singular Value Decomposition Maximizing projected variance, minimizing reconstruction error, and decorrelating features all select the same subspace, and the SVD computes it without ever forming the covariance matrix. machine learning