Marigold: Efficient k-means Clustering in High Dimensions
Summary: Marigold accelerates k-means in high dimensions by aggressively pruning distance computations via a tight distance‑bounding scheme, stepwise multiresolution transforms, and triangle‑inequality exploitation. Novel combination yields near real‑time clustering (≈10× speedup on ARPES and other real-world datasets) without degrading k‑means accuracy. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,591 | A Flexible Framework for Query-oriented Interactive Community Search | 2025 | VLDB | 4.1905499e-05 |
| 10,723 | Federated and Balanced Clustering for High-dimensional Data | 2025 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,240 | Multi-dimensional Selectivity Estimation Using Compressed Histogram Information | 1999 | SIGMOD | 0.00013090678 |
| 2,146 | Scalable K-Means++ | 2012 | VLDB | 9.4341455e-05 |
| 6,745 | On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection | 2021 | VLDB | 4.9376468e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,974 | Settling Time vs. Accuracy Tradeoffs for Clustering Big Data | 2024 | SIGMOD | 4.1905499e-05 |
| 11,469 | Fast Density-Peaks Clustering: Multicore-based Parallelization Approach | 2021 | SIGMOD | 4.1905499e-05 |
| 12,631 | A Shrinking-Based Approach for Multi-Dimensional Data Analysis | 2003 | VLDB | 4.1905499e-05 |
| 2,023 | Finding Generalized Projected Clusters in High Dimensional Spaces | 2000 | SIGMOD | 9.7586371e-05 |
| 9,426 | Local Search Methods for k-Means with Outliers | 2017 | VLDB | 4.3399748e-05 |
| 8,473 | Evaluating Clustering in Subspace Projections of High Dimensional Data | 2009 | VLDB | 4.4985288e-05 |
| 2,146 | Scalable K-Means++ | 2012 | VLDB | 9.4341455e-05 |
| 6,745 | On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection | 2021 | VLDB | 4.9376468e-05 |
| 10,946 | Efficient Algorithm for K-Multiple-Means | 2024 | SIGMOD | 4.1905499e-05 |
| 12,580 | k-Means Projective Clustering | 2004 | PODS | 4.1905499e-05 |