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» A Semi-Supervised Document Clustering Algorithm Based on EM
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IS
2006
15 years 1 months ago
A methodology for clustering XML documents by structure
The processing and management of XML data are popular research issues. However, operations based on the structure of XML data have not received strong attention. These operations ...
Theodore Dalamagas, Tao Cheng, Klaas-Jan Winkel, T...
WWW
2007
ACM
16 years 2 months ago
On building graphs of documents with artificial ants
We present an incremental algorithm for building a neighborhood graph from a set of documents. This algorithm is based on a population of artificial agents that imitate the way re...
Hanane Azzag, Julien Lavergne, Christiane Guinot, ...
ICML
2005
IEEE
16 years 2 months ago
Multi-way distributional clustering via pairwise interactions
We present a novel unsupervised learning scheme that simultaneously clusters variables of several types (e.g., documents, words and authors) based on pairwise interactions between...
Ron Bekkerman, Ran El-Yaniv, Andrew McCallum
SIGIR
2004
ACM
15 years 7 months ago
Learning to cluster web search results
Organizing Web search results into clusters facilitates users' quick browsing through search results. Traditional clustering techniques are inadequate since they don't g...
Hua-Jun Zeng, Qi-Cai He, Zheng Chen, Wei-Ying Ma, ...
EEE
2005
IEEE
15 years 7 months ago
Learning the Kernel Matrix for XML Document Clustering
The rapid growth of XML adoption has urged for the need of a proper representation for semi-structured documents, where the document structural information has to be taken into ac...
Jianwu Yang, William Kwok-Wai Cheung, Xiaoou Chen