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» Clustering Trees with Instance Level Constraints
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ECML
2007
Springer
13 years 11 months ago
Clustering Trees with Instance Level Constraints
Abstract. Constrained clustering investigates how to incorporate domain knowledge in the clustering process. The domain knowledge takes the form of constraints that must hold on th...
Jan Struyf, Saso Dzeroski
DATAMINE
2007
110views more  DATAMINE 2007»
13 years 4 months ago
The complexity of non-hierarchical clustering with instance and cluster level constraints
Recent work has looked at extending clustering algorithms with instance level must-link (ML) and cannot-link (CL) background information. Our work introduces δ and ǫ cluster lev...
Ian Davidson, S. S. Ravi
PKDD
2010
Springer
166views Data Mining» more  PKDD 2010»
13 years 3 months ago
A Cluster-Level Semi-supervision Model for Interactive Clustering
Abstract. Semi-supervised clustering models, that incorporate user provided constraints to yield meaningful clusters, have recently become a popular area of research. In this paper...
Avinava Dubey, Indrajit Bhattacharya, Shantanu God...
ICDE
2010
IEEE
195views Database» more  ICDE 2010»
13 years 5 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 instanc...
ZiJie Qi, Yinghui Yang
CIKM
2004
Springer
13 years 10 months ago
Using a compact tree to index and query XML data
Indexing XML is crucial for efficient XML query processing. We propose a compact tree (Ctree) for XML indexing, which provides not only concise path summaries at group level but a...
Qinghua Zou, Shaorong Liu, Wesley W. Chu