148 search results - page 2 / 30 » Context-Based Distance Learning for Categorical Data Cluster... |
ICDE
1999
IEEE
14 years 5 months ago
1999
IEEE
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
ICDM
2009
IEEE
13 years 11 months ago
2009
IEEE
Since clustering is unsupervised and highly explorative, clustering validation (i.e. assessing the quality of clustering solutions) has been an important and long standing researc...
ICDM
2008
IEEE
13 years 10 months ago
2008
IEEE
Clustering is an active research topic in data mining and different methods have been proposed in the literature. Most of these methods are based on the use of a distance measure ...
KES
2004
Springer
13 years 9 months ago
2004
Springer
– This paper describes a text categorization approach that is based on a combination of a newly designed text representation with a kNN classifier. The new text document represen...
ESWA
2008
13 years 4 months ago
2008
Clustering is an important function in data mining. Its typical application includes the analysis of consumer's materials. Adaptive resonance theory network (ART) is very pop...