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» Robust information-theoretic clustering
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CVPR
2003
IEEE
15 years 11 months ago
Robust Data Clustering
We address the problem of robust clustering by combining data partitions (forming a clustering ensemble) produced by multiple clusterings. We formulate robust clustering under an ...
Ana L. N. Fred, Anil K. Jain
IWQOS
2004
Springer
15 years 3 months ago
Robust communications for sensor networks in hostile environments
— Clustering sensor nodes increases the scalability and energy efficiency of communications among them. In hostile environments, unexpected failures or attacks on cluster heads ...
Ossama Younis, Sonia Fahmy, Paolo Santi
ICASSP
2011
IEEE
14 years 1 months ago
Outlier-aware robust clustering
Clustering is a basic task in a variety of machine learning applications. Partitioning a set of input vectors into compact, wellseparated subsets can be severely affected by the p...
Pedro A. Forero, Vassilis Kekatos, Georgios B. Gia...
SSDBM
2008
IEEE
114views Database» more  SSDBM 2008»
15 years 4 months ago
A General Framework for Increasing the Robustness of PCA-Based Correlation Clustering Algorithms
Abstract. Most correlation clustering algorithms rely on principal component analysis (PCA) as a correlation analysis tool. The correlation of each cluster is learned by applying P...
Hans-Peter Kriegel, Peer Kröger, Erich Schube...
MICCAI
2007
Springer
15 years 10 months ago
Robust Computation of Mutual Information Using Spatially Adaptive Meshes
Abstract. We present a new method for the fast and robust computation of information theoretic similarity measures for alignment of multi-modality medical images. The proposed meth...
Hari Sundar, Dinggang Shen, George Biros, Chenyang...