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ICPR
2002
IEEE
14 years 11 days ago
Exploratory Analysis of Point Proximity in Subspaces
We consider clustering as computation of a structure of proximity relationships within a data set in a feature space or its subspaces. We propose a data structure to represent suc...
Tin Kam Ho
CVPR
2011
IEEE
13 years 4 months ago
Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering
Where does the sparsity in image signals come from? Local and nonlocal image models have supplied complementary views toward the regularity in natural images the former attempts t...
Weisheng Dong, Xin Li
NIPS
2007
13 years 8 months ago
Consistent Minimization of Clustering Objective Functions
Clustering is often formulated as a discrete optimization problem. The objective is to find, among all partitions of the data set, the best one according to some quality measure....
Ulrike von Luxburg, Sébastien Bubeck, Stefa...
PPOPP
2003
ACM
14 years 20 days ago
Optimizing data aggregation for cluster-based internet services
Large-scale cluster-based Internet services often host partitioned datasets to provide incremental scalability. The aggregation of results produced from multiple partitions is a f...
Lingkun Chu, Hong Tang, Tao Yang, Kai Shen
SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
13 years 8 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar