FAÇADE: A Fast and Effective Approach to the Discovery of Dense Clusters in Noisy Spatial Data
Summary: FACADE is a fast spatial clustering tool that finds dense clusters of varying size, shape, and density in noisy data. It is largely automatic, separates signal from noise, runs in O(n log n), and uses 2D/3D visuals to aid parameter choice and result evaluation. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yu Qian (Univerity of Texas Dallas)
- 2. Gang Zhang (Univerity of Texas Dallas)
- 3. Kang Zhang (Univerity of Texas Dallas)
BibTeX Citation
@inproceedings{qian_sigmod04,
title = {{FAÇADE: A Fast and Effective Approach to the Discovery of Dense Clusters in Noisy Spatial Data}},
author = {Qian, Yu and Zhang, Gang and Zhang, Kang},
series = {{SIGMOD} '04},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1007568.1007696},
url = {https://dl.acm.org/doi/10.1145/1007568.1007696},
year = {2004}
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