1971 search results - page 85 / 395 » A clustering method that uses lossy aggregation of data |
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
Many important industrial applications rely on data mining methods to uncover patterns and trends in large data warehouse environments. Since a data warehouse is typically updated...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
How do we find a natural clustering of a real world point set, which contains an unknown number of clusters with different shapes, and which may be contaminated by noise? Most clu...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
IJCM
2007
13 years 7 months ago
2007
The highest fidelity representations of realistic real-world materials currently used comprise Bidirectional Texture Functions (BTF). The BTF is a six dimensional function dependi...
CIKM
2009
Springer
14 years 2 months ago
2009
Springer
Clustering ensembles combine different clustering solutions into a single robust and stable one. Most of existing methods become highly time-consuming when the data size turns to ...