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AI
2009
Springer
14 years 3 months ago
An Iterative Hybrid Filter-Wrapper Approach to Feature Selection for Document Clustering
The manipulation of large-scale document data sets often involves the processing of a wealth of features that correspond with the available terms in the document space. The employm...
Mohammad-Amin Jashki, Majid Makki, Ebrahim Bagheri...
KDD
2001
ACM
181views Data Mining» more  KDD 2001»
14 years 9 months ago
Co-clustering documents and words using bipartite spectral graph partitioning
Both document clustering and word clustering are well studied problems. Most existing algorithms cluster documents and words separately but not simultaneously. In this paper we pr...
Inderjit S. Dhillon
ICDM
2009
IEEE
105views Data Mining» more  ICDM 2009»
14 years 3 months ago
Multi-document Summarization by Information Distance
—We are now living in a world where information is growing and updating quickly. Knowledge can be acquired more efficiently with the help of automatic document summarization and...
Chong Long, Minlie Huang, Xiaoyan Zhu, Ming Li
DAGM
2008
Springer
13 years 10 months ago
Boosting for Model-Based Data Clustering
In this paper a novel and generic approach for model-based data clustering in a boosting framework is presented. This method uses the forward stagewise additive modeling to learn t...
Amir Saffari, Horst Bischof