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» Experiments on Graph Clustering Algorithms
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KDD
2004
ACM
190views Data Mining» more  KDD 2004»
14 years 11 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
APWEB
2009
Springer
13 years 8 months ago
Core-Tag Clustering for Web 2.0 Based on Multi-similarity Measurements
Along with the development of Web2.0, folksonomy has become a hot topic related to data mining, information retrieval and social network. The tag semantic is the key for deep under...
Yexi Jiang, Changjie Tang, Kaikuo Xu, Lei Duan, Li...
DMKD
1997
ACM
198views Data Mining» more  DMKD 1997»
14 years 2 months ago
Clustering Based On Association Rule Hypergraphs
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...
DASFAA
2007
IEEE
181views Database» more  DASFAA 2007»
14 years 5 months ago
Graph Structure of the Korea Web
The study of the Web graph not only yields valuable insight into Web algorithms for crawling, searching and community discovery, and the sociological phenomena that characterize it...
In Kyu Han, Sang Ho Lee, Soowon Lee
MM
2004
ACM
195views Multimedia» more  MM 2004»
14 years 4 months ago
Hierarchical clustering of WWW image search results using visual, textual and link information
We consider the problem of clustering Web image search results. Generally, the image search results returned by an image search engine contain multiple topics. Organizing the resu...
Deng Cai, Xiaofei He, Zhiwei Li, Wei-Ying Ma, Ji-R...