Contrast Plots and P-Sphere Trees: Space vs. Time in Nearest Neighbor Searches
Summary: Introduces contrast plots and P-sphere trees for NN search, targeting “good” high-dimensional data where sublinear search is feasible. Offers a tunable space–time tradeoff with performance predictable from a data characteristic, including variants outperforming alternatives. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jonathan Goldstein (Microsoft)
- 2. Raghu Ramakrishnan (University of Wisconsin)
BibTeX Citation
@article{goldstein_vldb00,
title = {{Contrast Plots and P-Sphere Trees: Space vs. Time in Nearest Neighbor Searches}},
author = {Goldstein, Jonathan and Ramakrishnan, Raghu},
journal = {PVLDB},
series = {{VLDB} '00},
pages = {429--440},
year = {2000}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 576 | Quality and Efficiency in High Dimensional Nearest Neighbor Search | 2009 | SIGMOD | 0.00016121388 |
| 674 | Efficient Similarity Search and Classification via Rank Aggregation | 2003 | SIGMOD | 0.00014886692 |
| 2,939 | Approximate NN Queries on Streams with Guaranteed Error/performance Bounds | 2004 | VLDB | 7.8340314e-05 |
| 3,016 | Indexing the Distance: An Efficient Method to KNN Processing | 2001 | VLDB | 7.7483267e-05 |
| 4,728 | Finding Near Neighbors Through Cluster Pruning | 2007 | PODS | 6.4473669e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 674 | Efficient Similarity Search and Classification via Rank Aggregation | 2003 | SIGMOD |
| 2 | 20 | Similarity Search in High Dimensions via Hashing | 1999 | VLDB |
| 3 | 802 | Near Neighbor Search in Large Metric Spaces | 1995 | VLDB |
| 4 | 1,304 | Continuous Nearest Neighbor Search | 2002 | VLDB |
| 5 | 576 | Quality and Efficiency in High Dimensional Nearest Neighbor Search | 2009 | SIGMOD |
| 6 | 8,927 | Contorting High Dimensional Data for Efficient Main Memory KNN Processing | 2003 | SIGMOD |
| 7 | 3,325 | Efficient k-NN Search on Vertically Decomposed Data | 2002 | SIGMOD |
| 8 | 713 | Cache locality is not enough: High-Performance Nearest Neighbor Search with Product Quantization Fast Scan | 2016 | VLDB |
| 9 | 2,113 | What is the nearest neighbor in high dimensional spaces? | 2000 | VLDB |
| 10 | 1,157 | A Cost Model For Nearest Neighbor Search in High-Dimensional Data Space | 1997 | PODS |