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GFKL
2005
Springer
95views Data Mining» more  GFKL 2005»
14 years 28 days ago
An Indicator for the Number of Clusters: Using a Linear Map to Simplex Structure
Abstract. The problem of clustering data can be formulated as a graph partitioning problem. In this setting, spectral methods for obtaining optimal solutions have received a lot of...
Marcus Weber, Wasinee Rungsarityotin, Alexander Sc...
FOCS
2000
IEEE
13 years 12 months ago
On Clusterings - Good, Bad and Spectral
We motivate and develop a natural bicriteria measure for assessing the quality of a clustering that avoids the drawbacks of existing measures. A simple recursive heuristic is shown...
Ravi Kannan, Santosh Vempala, Adrian Vetta
SDM
2010
SIAM
213views Data Mining» more  SDM 2010»
13 years 8 months ago
Spectral Analysis of Signed Graphs for Clustering, Prediction and Visualization
We study the application of spectral clustering, prediction and visualization methods to graphs with negatively weighted edges. We show that several characteristic matrices of gra...
Jérôme Kunegis, Stephan Schmidt, Andr...
ICCV
2009
IEEE
15 years 12 days ago
Constrained Clustering by Spectral Kernel Learning
Clustering performance can often be greatly improved by leveraging side information. In this paper, we consider constrained clustering with pairwise constraints, which specify s...
Zhenguo Li, Jianzhuang Liu
ICCV
2003
IEEE
14 years 9 months ago
Multiclass Spectral Clustering
We propose a principled account on multiclass spectral clustering. Given a discrete clustering formulation, we first solve a relaxed continuous optimization problem by eigendecomp...
Stella X. Yu, Jianbo Shi