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» Experiments on Graph Clustering Algorithms
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TVCG
2008
125views more  TVCG 2008»
15 years 2 months ago
GrouseFlocks: Steerable Exploration of Graph Hierarchy Space
Several previous systems allow users to interactively explore a large input graph through cuts of a superimposed hierarchy. This hierarchy is often created using clustering algorit...
Daniel Archambault, Tamara Munzner, David Auber
ICS
2010
Tsinghua U.
15 years 11 months ago
Local Algorithms for Finding Interesting Individuals in Large Networks
: We initiate the study of local, sublinear time algorithms for finding vertices with extreme topological properties -- such as high degree or clustering coefficient -- in large so...
Mickey Brautbar, Michael Kearns
SIGIR
2006
ACM
15 years 8 months ago
Respect my authority!: HITS without hyperlinks, utilizing cluster-based language models
We present an approach to improving the precision of an initial document ranking wherein we utilize cluster information within a graph-based framework. The main idea is to perform...
Oren Kurland, Lillian Lee
98
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ACIVS
2006
Springer
15 years 8 months ago
Alternative Fuzzy Clustering Algorithms with L1-Norm and Covariance Matrix
In fuzzy clustering, the fuzzy c-means (FCM) algorithm is the best known and most used method. Although FCM is a very useful method, it is sensitive to noise and outliers so that W...
Miin-Shen Yang, Wen-Liang Hung, Tsiung-Iou Chung
AUSAI
2007
Springer
15 years 8 months ago
DBSC: A Dependency-Based Subspace Clustering Algorithm for High Dimensional Numerical Datasets
Abstract. We present a novel algorithm called DBSC, which finds subspace clusters in numerical datasets based on the concept of ”dependency”. This algorithm employs a depth-...
Xufei Wang, Chunping Li