Outlier-robust Clustering using Independent Components

Summary: OCI uses ICA and the exponential power distribution (EPD) to model non-Gaussian clusters. Top-down, parameter-free clustering uses ICA-derived directions for splits with an EPD-based outlier filter, achieving accurate, efficient results. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 3987
Venue: SIGMOD
Year: 2008
Pagerank: 5.3382727e-05
Overall Rank: 5,760 | 59.93%
DOI: -

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
4,065	AutoPlait: Automatic Mining of Co-evolving Time Sequences	2014	SIGMOD	6.4819215e-05
6,094	Data Warehouse Technology by Infobright	2009	SIGMOD	5.2130625e-05
9,420	Local Search Methods for k-Means with Outliers	2017	VLDB	4.3441378e-05

Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
33	BIRCH: An Efficient Data Clustering Method for Very Large Databases	1996	SIGMOD	0.00077324389
161	LOF: Identifying Density-Based Local Outliers	2000	SIGMOD	0.00039846974
270	OPTICS: Ordering Points To Identify the Clustering Structure	1999	SIGMOD	0.00029505642
277	Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications	1998	SIGMOD	0.00029311426
2,019	Finding Generalized Projected Clusters in High Dimensional Spaces	2000	SIGMOD	9.7707059e-05
4,162	Computing Clusters of Correlation Connected Objects	2004	SIGMOD	6.3937203e-05
7,829	CURLER: Finding and Visualizing Nonlinear Correlation Clusters	2005	SIGMOD	4.6400142e-05

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