726 search results - page 2 / 146 » Sense Cluster Based Categorization and Clustering of Abstrac... |
SSDBM
2005
IEEE
13 years 11 months ago
2005
IEEE
With the growing demand on cluster analysis for categorical data, a handful of categorical clustering algorithms have been developed. Surprisingly, to our knowledge, none has sati...
ICDM
2009
IEEE
14 years 4 days 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...
AAAI
2004
13 years 6 months ago
2004
SenseClusters is a freely available word sense discrimination system that takes a purely unsupervised clustering approach. It uses no knowledge other than what is available in a r...
EDBT
2004
ACM
14 years 5 months ago
2004
ACM
Abstract. Clustering is a problem of great practical importance in numerous applications. The problem of clustering becomes more challenging when the data is categorical, that is, ...
PARA
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. This paper presents the Interval Categorizer Tessellationbased Model (ICTM) for the simultaneous categorization of geographic regions considering several characteristics ...