21 search results - page 2 / 5 » Labeling Unclustered Categorical Data into Clusters Based on... |
CORR
2011
Springer
12 years 11 months ago
2011
Springer
- In this work we are analyzing scalability of the heuristic algorithm we used in the past [1-4] to discover knowledge from multi-valued symbolic attributes in fuzzy databases. The...
ICTAI
2007
IEEE
14 years 1 months ago
2007
IEEE
Many real datasets have uncertain categorical attribute values that are only approximately measured or imputed. Uncertainty in categorical data is commonplace in many applications...
DMKD
1997
ACM
13 years 11 months ago
1997
ACM
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
MLDM
2005
Springer
14 years 29 days ago
2005
Springer
In the context of large databases, data preparation takes a greater importance : instances and explanatory attributes have to be carefully selected. In supervised learning, instanc...
FLAIRS
2006
13 years 8 months ago
2006
Text categorization involves mapping of documents to a fixed set of labels. A similar but equally important problem is that of assigning labels to large corpora. With a deluge of ...