121 search results - page 18 / 25 » Robust Clustering of Data Streams using Incremental Optimiza... |
STACS
2007
Springer
14 years 1 months ago
2007
Springer
The min-sum k-clustering problem is to partition a metric space (P, d) into k clusters C1, . . . , Ck ⊆ P such that k i=1 p,q∈Ci d(p, q) is minimized. We show the first effi...
CLUSTER
2009
IEEE
14 years 8 days ago
2009
IEEE
—Statistical analysis is widely used for countless scientific applications in order to analyze and infer meaning from data. A key challenge of any statistical analysis package a...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
We propose a principled account on multiclass spectral clustering. Given a discrete clustering formulation, we first solve a relaxed continuous optimization problem by eigendecomp...
DEBU
2000
13 years 7 months ago
2000
As the area of data management for the Internet has gained in popularity, recent work has focused on effectively dealing with unpredictable, dynamic data volumes and transfer rate...
CVPR
2010
IEEE
13 years 11 months ago
2010
IEEE
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...