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ICDE
2010
IEEE

Advances in constrained clustering

13 years 3 months ago
Advances in constrained clustering
— Constrained clustering (semi-supervised learning) techniques have attracted more attention in recent years. However, the commonly used constraints are restricted to the instance level, thus we introduced two new classifications for the type of constraints: decision constraints and non-decision constraints. We implemented applications involving non-decision constraints to find alternative clusterings. Due to the fact that randomly generated constraints might adversely impact the performance, we discussed the main reasons for carefully generating a subset of useful constraints, and defined two basic questions on how to generate useful constraints.
ZiJie Qi, Yinghui Yang
Added 06 Dec 2010
Updated 06 Dec 2010
Type Conference
Year 2010
Where ICDE
Authors ZiJie Qi, Yinghui Yang
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