1301 search results - page 1 / 261 » Default Clustering from Sparse Data Sets |
ECSQARU
2005
Springer
13 years 10 months ago
2005
Springer
Categorization with a very high missing data rate is seldom studied, especially from a non-probabilistic point of view. This paper proposes a new algorithm called default clusterin...
ER
2004
Springer
13 years 10 months ago
2004
Springer
Our goal is to model the way people induce knowledge from rare and sparse data. This paper describes a theoretical framework for inducing knowledge from these incomplete data descr...
ICCS
2004
Springer
13 years 10 months ago
2004
Springer
This paper gives a theoretical framework for clustering a set of conceptual graphs characterized by sparse descriptions. The formed clusters are named in an intelligible manner thr...
JODS
2007
13 years 4 months ago
2007
This paper describes a theoretical framework for inducing knowledge from incomplete data sets. The general framework can be used with any formalism based on a lattice structure. It...
FLAIRS
2009
13 years 2 months ago
2009
In this paper, we are interested in the qualitative knowledge that underlies some given probabilistic information. To represent such qualitative structures, we use ordinal conditi...