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» Measuring Similarity between Sets of Overlapping Clusters
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SDM
2007
SIAM
122views Data Mining» more  SDM 2007»
14 years 11 months ago
Incremental Spectral Clustering With Application to Monitoring of Evolving Blog Communities
In recent years, spectral clustering method has gained attentions because of its superior performance compared to other traditional clustering algorithms such as K-means algorithm...
Huazhong Ning, Wei Xu, Yun Chi, Yihong Gong, Thoma...
DASFAA
2006
IEEE
168views Database» more  DASFAA 2006»
15 years 1 months ago
COWES: Clustering Web Users Based on Historical Web Sessions
Clustering web users is one of the most important research topics in web usage mining. Existing approaches cluster web users based on the snapshots of web user sessions. They do no...
Ling Chen 0002, Sourav S. Bhowmick, Jinyan Li
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
15 years 10 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
EMMCVPR
2001
Springer
15 years 2 months ago
Path Based Pairwise Data Clustering with Application to Texture Segmentation
Most cost function based clustering or partitioning methods measure the compactness of groups of data. In contrast to this picture of a point source in feature space, some data sou...
Bernd Fischer, Thomas Zöller, Joachim M. Buhm...
ITC
2003
IEEE
120views Hardware» more  ITC 2003»
15 years 3 months ago
High Quality ATPG for Delay Defects
: The paper presents a novel technique for generating effective vectors for delay defects. The test set achieves high path delay fault coverage to capture smalldistributed delay de...
Puneet Gupta, Michael S. Hsiao