265 search results - page 10 / 53 » Approximation algorithms for clustering uncertain data |
ATAL
2009
Springer
15 years 1 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...
106
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KDD
2009
ACM
15 years 10 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
14 years 9 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
14 years 11 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...
116
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JDCTA
2010
14 years 4 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...