58 search results - page 5 / 12 » Extension of Partitional Clustering Methods for Handling Mix... |
MLDM
2005
Springer
14 years 3 months 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...
CEC
2009
IEEE
14 years 4 months ago
2009
IEEE
This paper describes an evolutionary clustering algorithm, which can partition a given dataset automatically into the optimal number of groups through one shot of optimization. The...
DASFAA
2004
IEEE
14 years 1 months ago
2004
IEEE
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
KDD
2006
ACM
14 years 10 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...
EUROPAR
2004
Springer
14 years 1 months ago
2004
Springer
Hierarchical agglomerative clustering (HAC) is a common clustering method that outputs a dendrogram showing all N levels of agglomerations where N is the number of objects in the d...