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» Stability of k -Means Clustering
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ICPR
2008
IEEE
14 years 9 months ago
Active query selection for semi-supervised clustering
Semi-supervised clustering allows a user to specify available prior knowledge about the data to improve the clustering performance. A common way to express this information is in ...
Anil K. Jain, Pavan Kumar Mallapragada, Rong Jin
WWW
2007
ACM
14 years 8 months ago
Collaborative ICT for Indian business clusters
Indian business clusters have contributed immensely to the country's industrial output, poverty alleviation and employment generation. However, with recent globalization thes...
Soumya Roy, Shantanu Biswas
BIBE
2004
IEEE
120views Bioinformatics» more  BIBE 2004»
13 years 11 months ago
Identifying Projected Clusters from Gene Expression Profiles
In microarray gene expression data, clusters may hide in subspaces. Traditional clustering algorithms that make use of similarity measurements in the full input space may fail to ...
Kevin Y. Yip, David W. Cheung, Michael K. Ng, Kei-...
KDD
2003
ACM
111views Data Mining» more  KDD 2003»
14 years 8 months ago
Critical event prediction for proactive management in large-scale computer clusters
Adam J. Oliner, Anand Sivasubramaniam, Irina Rish,...
PDPTA
2004
13 years 9 months ago
A New Adaptive Distributed Routing Protocol Using d-hop Dominating Sets for Mobile Ad Hoc Networks
In this paper, we propose an adaptive self- stabilizing algorithm for producing a d-hop connected d-hop dominating set. In the algorithm, the set is cumulatively built with commun...
Zhengnan Shi, Pradip K. Srimani