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» A Lattice-Based Approach to Hierarchical Clustering
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SDM
2004
SIAM
141views Data Mining» more  SDM 2004»
13 years 9 months ago
Visually Mining through Cluster Hierarchies
Similarity search in database systems is becoming an increasingly important task in modern application domains such as multimedia, molecular biology, medical imaging, computer aid...
Stefan Brecheisen, Hans-Peter Kriegel, Peer Kr&oum...
CORR
2006
Springer
102views Education» more  CORR 2006»
13 years 7 months ago
Structural Inference of Hierarchies in Networks
One property of networks that has received comparatively little attention is hierarchy, i.e., the property of having vertices that cluster together in groups, which then join to f...
Aaron Clauset, Cristopher Moore, M. E. J. Newman
TON
2008
109views more  TON 2008»
13 years 7 months ago
On hierarchical traffic grooming in WDM networks
Abstract--The traffic grooming problem is of high practical importance in emerging wide-area wavelength division multiplexing (WDM) optical networks, yet it is intractable for any ...
Bensong Chen, George N. Rouskas, Rudra Dutta
ICASSP
2010
IEEE
13 years 8 months ago
Learning from high-dimensional noisy data via projections onto multi-dimensional ellipsoids
In this paper, we examine the problem of learning from noisecontaminated data in high-dimensional space. A new learning approach based on projections onto multi-dimensional ellips...
Liuling Gong, Dan Schonfeld
KDD
2007
ACM
124views Data Mining» more  KDD 2007»
14 years 1 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler