265 search results - page 10 / 53 » Approximation algorithms for clustering uncertain data |
ATAL
2009
Springer
13 years 11 months ago
2009
Springer
Interactive dynamic influence diagrams (I-DIDs) are graphical models for sequential decision making in uncertain settings shared by other agents. Algorithms for solving I-DIDs fac...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
ICDE
2010
IEEE
13 years 7 months ago
2010
IEEE
— Emerging uncertain database applications often involve the cleansing (conditioning) of uncertain databases using additional information as new evidence for reducing the uncerta...
APPROX
2008
Springer
13 years 9 months ago
2008
Springer
Clustering is a common problem in the analysis of large data sets. Streaming algorithms, which make a single pass over the data set using small working memory and produce a cluster...
JDCTA
2010
13 years 2 months ago
2010
Granular Computing (GrC), a knowledge-oriented computing which covers the theory of fuzzy information granularity, rough set theory, the theory of quotient space and interval comp...