Assessing the impact of dimensionality reduction on clustering performance - a systematic study

arXiv:2604.22099 · cs.LG · Submitted 2026-04-23 · Read on arXiv

cs.LG

Submitted: 2026-04-23

Updated: 2026-09-22

Code: https://github.com/OusmaneAmate/Dimensionality_reduction-for-clustering

Terminology

• Clustering — 187× in this paper · explained in 2 episodes
• Benchmark — 10× in this paper · explained in 2 episodes
• Principal Component Analysis — 10× in this paper
• Agglomerative Hierarchical Clustering — 8× in this paper
• Embeddings — 7× in this paper · explained in 2 episodes
• Gaussian Mixture Models — 6× in this paper
• Adjusted Rand Index — 4× in this paper
• Latent Space — 4× in this paper · explained in 7 episodes
• Principal Component Analysis (PCA) — 4× in this paper · explained in 4 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Variational Autoencoder (VAE) — 4× in this paper · explained in 3 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Benchmarking — 3× in this paper · explained in 3 episodes
• Latent Representation — 3× in this paper · explained in 2 episodes
• Ordering Points to Identify the Clustering Structure — 3× in this paper
• Rodriguez Structured Gaussian — 3× in this paper
• Analyzer — 2× in this paper · explained in 1 episode
• Latent Representations — 2× in this paper · explained in 3 episodes
• Uniform Manifold Approximation and Projection — 2× in this paper
• Adam — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Curse of Dimensionality — 1× in this paper · explained in 6 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Feature Selection — 1× in this paper · explained in 4 episodes
• Gaussian Mixture Model (GMM) — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Synthetic Data Generation — 1× in this paper · explained in 5 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes

Sources

• Auto-Encoding Variational Bayes
• Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering

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