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ICDM
2003
IEEE
92views Data Mining» more  ICDM 2003»
14 years 4 months 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
PAMI
2011
13 years 5 months ago
Parallel Spectral Clustering in Distributed Systems
Spectral clustering algorithms have been shown to be more effective in finding clusters than some traditional algorithms such as k-means. However, spectral clustering suffers fro...
Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih-Jen ...
KDD
2004
ACM
158views Data Mining» more  KDD 2004»
14 years 11 months ago
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
ISBI
2011
IEEE
13 years 2 months ago
Sparse Riemannian manifold clustering for HARDI segmentation
We address the problem of segmenting high angular resolution diffusion images of the brain into cerebral regions corresponding to distinct white matter fiber bundles. We cast thi...
Hasan Ertan Çetingül, René Vida...
FPL
2004
Springer
98views Hardware» more  FPL 2004»
14 years 4 months ago
Power-Driven Design Partitioning
In order to enable efficient integration of FPGAs into cost effective and reliable high-performance systems as well potentially into low power mobile systems, their power efficienc...
Rajarshi Mukherjee, Seda Ogrenci Memik