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» An Approach to Clustering Abstracts
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ICDM
2003
IEEE
210views Data Mining» more  ICDM 2003»
16 years 27 days ago
CBC: Clustering Based Text Classification Requiring Minimal Labeled Data
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
Hua-Jun Zeng, Xuanhui Wang, Zheng Chen, Hongjun Lu...
SDM
2008
SIAM
136views Data Mining» more  SDM 2008»
15 years 9 months ago
Exploration and Reduction of the Feature Space by Hierarchical Clustering
In this paper we propose and test the use of hierarchical clustering for feature selection. The clustering method is Ward's with a distance measure based on GoodmanKruskal ta...
Dino Ienco, Rosa Meo
CSREAESA
2006
15 years 9 months ago
FEMPI: A Lightweight Fault-tolerant MPI for Embedded Cluster Systems
- Ever-increasing demands of space missions for data returns from their limited processing and communications resources have made the traditional approach of data gathering, data c...
Rajagopal Subramaniyan, Vikas Aggarwal, Adam Jacob...
VIP
2000
15 years 9 months ago
Non-Invasive estimation of Cerebral Metabolic Rate of Glucose Using Simultaneous Estimation and Cluster Analysis: A feasibility
Quantitative PET studies usually require invasive blood sampling from a peripheral artery to obtain an input function for accurate modelling. However, blood sampling is impractica...
Koon-Pong Wong, David Dagan Feng, Steven R. Meikle...
SIGIR
2010
ACM
15 years 7 months ago
Analysis of structural relationships for hierarchical cluster labeling
Cluster label quality is crucial for browsing topic hierarchies obtained via document clustering. Intuitively, the hierarchical structure should influence the labeling accuracy. H...
Markus Muhr, Roman Kern, Michael Granitzer