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» Approximate Spectral Clustering.
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KDD
2007
ACM
158views Data Mining» more  KDD 2007»
14 years 8 months ago
Evolutionary spectral clustering by incorporating temporal smoothness
Yun Chi, Xiaodan Song, Dengyong Zhou, Koji Hino, B...
COLT
2004
Springer
14 years 28 days ago
On the Convergence of Spectral Clustering on Random Samples: The Normalized Case
Given a set of n randomly drawn sample points, spectral clustering in its simplest form uses the second eigenvector of the graph Laplacian matrix, constructed on the similarity gra...
Ulrike von Luxburg, Olivier Bousquet, Mikhail Belk...
PRIS
2004
13 years 9 months ago
Comparison of Combination Methods using Spectral Clustering Ensembles
We address the problem of the combination of multiple data partitions, that we call a clustering ensemble. We use a recent clustering approach, known as Spectral Clustering, and th...
André Lourenço, Ana L. N. Fred
CVPR
2008
IEEE
14 years 2 months ago
Normalized tree partitioning for image segmentation
In this paper, we propose a novel graph based clustering approach with satisfactory clustering performance and low computational cost. It consists of two main steps: tree fitting...
Jingdong Wang, Yangqing Jia, Xian-Sheng Hua, Chang...
ACL
2006
13 years 9 months ago
Unsupervised Relation Disambiguation Using Spectral Clustering
This paper presents an unsupervised learning approach to disambiguate various relations between name entities by use of various lexical and syntactic features from the contexts. I...
Jinxiu Chen, Dong-Hong Ji, Chew Lim Tan, Zheng-Yu ...