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CIKM
2010
Springer
15 years 5 months ago
Identifying hotspots on the real-time web
We study the problem of automatically identifying“hotspots” on the real-time web. Concretely, we propose to identify highly-dynamic ad-hoc collections of users – what we ref...
Krishna Yeswanth Kamath, James Caverlee
ICML
2004
IEEE
16 years 8 months ago
Automated hierarchical mixtures of probabilistic principal component analyzers
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
Ting Su, Jennifer G. Dy
ESANN
2007
15 years 8 months ago
Feature clustering and mutual information for the selection of variables in spectral data
Spectral data often have a large number of highly-correlated features, making feature selection both necessary and uneasy. A methodology combining hierarchical constrained clusteri...
Catherine Krier, Damien François, Fabrice R...
JNW
2006
74views more  JNW 2006»
15 years 7 months ago
Mobility Resistant Clustering in Multi-Hop Wireless Networks
This paper presents a Distributed Efficient Clustering Approach (DECA) for mobility-resistant and energy-efficient clustering in multi-hop wireless networks. The clusterheads cover...
Miao Yu, Jason H. Li, Renato Levy
ICDM
2003
IEEE
92views Data Mining» more  ICDM 2003»
16 years 13 days ago
Validating and Refining Clusters via Visual Rendering
Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
Keke Chen, Ling Liu