Blaeu: Mapping and Navigating Large Tables with Cluster Analysis
Summary: Blaeu applies double cluster analysis to guide exploration of large tables: vertical clustering finds themes in correlated columns, then horizontal clustering groups rows. Data maps—interactive summaries let experts inspect, annotate, and drill down. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Thibault Sellam (Centrum Wiskunde & Informatica)
- 2. Robin Cijvat (MonetDB Solutions)
- 3. Richard Koopmanschap (MonetDB Solutions)
- 4. Martin Kersten (Centrum Wiskunde & Informatica)
BibTeX Citation
@article{sellam_vldb16,
title = {{Blaeu: Mapping and Navigating Large Tables with Cluster Analysis}},
author = {Sellam, Thibault and Cijvat, Robin and Koopmanschap, Richard and Kersten, Martin},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {13},
pages = {1477--1480},
doi = {10.14778/3007263.3007288},
url = {https://doi.org/10.14778/3007263.3007288},
year = {2016}
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