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INCDM
2010
Springer
172views Data Mining» more  INCDM 2010»
13 years 8 months ago
Evaluating the Quality of Clustering Algorithms Using Cluster Path Lengths
Many real world systems can be modeled as networks or graphs. Clustering algorithms that help us to organize and understand these networks are usually referred to as, graph based c...
Faraz Zaidi, Daniel Archambault, Guy Melanç...
ICC
2007
IEEE
115views Communications» more  ICC 2007»
14 years 4 months ago
Distributed Minimum-Cost Clustering Protocol for UnderWater Sensor Networks (UWSNs)
—In this paper, we study the node clustering problem in UnderWater Sensor Networks (UWSNs). We formulate the problem into a cluster-centric cost-based optimization problem with a...
Pu Wang, Cheng Li, Jun Zheng
ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
14 years 4 months ago
Non-redundant Multi-view Clustering via Orthogonalization
Typical clustering algorithms output a single clustering of the data. However, in real world applications, data can often be interpreted in many different ways; data can have diff...
Ying Cui, Xiaoli Z. Fern, Jennifer G. Dy
PAKDD
2009
ACM
209views Data Mining» more  PAKDD 2009»
14 years 7 months ago
Approximate Spectral Clustering.
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...
WISE
2009
Springer
14 years 4 months ago
STC+ and NM-STC: Two Novel Online Results Clustering Methods for Web Searching
Results clustering in Web Searching is useful for providing users with overviews of the results and thus allowing them to restrict their focus to the desired parts. However, the ta...
Stella Kopidaki, Panagiotis Papadakos, Yannis Tzit...