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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
79
Voted
SIGIR
2003
ACM
15 years 2 months ago
Document clustering based on non-negative matrix factorization
In this paper, we propose a novel document clustering method based on the non-negative factorization of the termdocument matrix of the given document corpus. In the latent semanti...
Wei Xu, Xin Liu, Yihong Gong
WSDM
2009
ACM
158views Data Mining» more  WSDM 2009»
15 years 4 months ago
A new visual search interface for web browsing
We introduce a new visual search interface for search engines. The interface is a user-friendly and informative graphical front-end for organizing and presenting search results in...
Songhua Xu, Tao Jin, Francis Chi-Moon Lau
WWW
2009
ACM
15 years 10 months ago
Query clustering using click-through graph
In this paper we describe a problem of discovering query clusters from a click-through graph of web search logs. The graph consists of a set of web search queries, a set of pages ...
Jeonghee Yi, Farzin Maghoul
DKE
2008
87views more  DKE 2008»
14 years 9 months ago
Region clustering based evaluation of multiple top-N selection queries
In many database applications, there are opportunities for multiple top-N queries to be evaluated at the same time. Often it is more cost effective to evaluate multiple such queri...
Liang Zhu, Weiyi Meng, Wenzhu Yang, Chunnian Liu