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» Improving document clustering by utilizing meta-data
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EWCBR
2006
Springer
13 years 8 months ago
Unsupervised Feature Selection for Text Data
Feature selection for unsupervised tasks is particularly challenging, especially when dealing with text data. The increase in online documents and email communication creates a nee...
Nirmalie Wiratunga, Robert Lothian, Stewart Massie
CHI
1998
ACM
13 years 9 months ago
Exploring Browser Design Trade-Offs Using a Dynamical Model of Optimal Information Foraging
Designers and researchers of human-computer interaction need tools that permit the rapid exploration and management of hypotheses about complex interactions of designs, task condi...
Peter Pirolli
ICML
2003
IEEE
13 years 10 months ago
An Evaluation on Feature Selection for Text Clustering
Feature selection methods have been successfully applied to text categorization but seldom applied to text clustering due to the unavailability of class label information. In this...
Tao Liu, Shengping Liu, Zheng Chen, Wei-Ying Ma
MMM
2011
Springer
368views Multimedia» more  MMM 2011»
12 years 9 months ago
Correlated PLSA for Image Clustering
Probabilistic Latent Semantic Analysis (PLSA) has become a popular topic model for image clustering. However, the traditional PLSA method considers each image (document) independen...
Peng Li, Jian Cheng, Zechao Li, Hanqing Lu