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» Adaptive K-Means Clustering
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IR
2002
14 years 9 months ago
Adaptive Filtering of Newswire Stories using Two-Level Clustering
Adaptive filtering of news is an area of information retrieval gaining substantial interest as services become more available on the Internet. This paper reports on a number of ex...
David Eichmann, Padmini Srinivasan
CIKM
2006
Springer
15 years 1 months ago
Adaptive non-linear clustering in data streams
Data stream clustering has emerged as a challenging and interesting problem over the past few years. Due to the evolving nature, and one-pass restriction imposed by the data strea...
Ankur Jain, Zhihua Zhang, Edward Y. Chang
PR
2010
156views more  PR 2010»
14 years 8 months ago
Semi-supervised clustering with metric learning: An adaptive kernel method
Most existing representative works in semi-supervised clustering do not sufficiently solve the violation problem of pairwise constraints. On the other hand, traditional kernel met...
Xuesong Yin, Songcan Chen, Enliang Hu, Daoqiang Zh...
ESWA
2008
213views more  ESWA 2008»
14 years 9 months ago
Visualization of patent analysis for emerging technology
Many methods have been developed to recognize those progresses of technologies, and one of them is to analyze patent information. And visualization methods are considered to be pr...
Young Gil Kim, Jong Hwan Suh, Sang-Chan Park
ICDAR
2009
IEEE
15 years 4 months ago
Unsupervised HMM Adaptation Using Page Style Clustering
In this paper we present an innovative two-stage adaptation approach for handwriting recognition that is based on clustering of similar pages in the training data. In our approach...
Huaigu Cao, Rohit Prasad, Shirin Saleem, Premkumar...