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» Clustering with Instance-level Constraints
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PAKDD
2004
ACM
183views Data Mining» more  PAKDD 2004»
14 years 2 months ago
Constraint-Based Graph Clustering through Node Sequencing and Partitioning
This paper proposes a two-step graph partitioning method to discover constrained clusters with an objective function that follows the well-known minmax clustering principle. Compar...
Yu Qian, Kang Zhang, Wei Lai
KDD
2010
ACM
279views Data Mining» more  KDD 2010»
14 years 29 days ago
Unifying dependent clustering and disparate clustering for non-homogeneous data
Modern data mining settings involve a combination of attributevalued descriptors over entities as well as specified relationships between these entities. We present an approach t...
M. Shahriar Hossain, Satish Tadepalli, Layne T. Wa...
ICCAD
1994
IEEE
101views Hardware» more  ICCAD 1994»
14 years 1 months ago
A general framework for vertex orderings, with applications to netlist clustering
We present a general framework for the construction of vertex orderings for netlist clustering. Our WINDOW algorithm constructs an ordering by iteratively adding the vertex with h...
Charles J. Alpert, Andrew B. Kahng
CIKM
2004
Springer
14 years 2 months ago
Document clustering based on cluster validation
This paper presents a cluster validation based document clustering algorithm, which is capable of identifying both important feature words and true model order (cluster number). I...
Zheng-Yu Niu, Dong-Hong Ji, Chew Lim Tan
AAAI
2006
13 years 10 months ago
Identifying and Generating Easy Sets of Constraints for Clustering
Clustering under constraints is a recent innovation in the artificial intelligence community that has yielded significant practical benefit. However, recent work has shown that fo...
Ian Davidson, S. S. Ravi