291 search results - page 24 / 59 » Clustering and the Biclique Partition Problem |
EUROPAR
2004
Springer
14 years 23 days 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...
PRL
2010
13 years 3 months ago
2010
As an important technique for data analysis, clustering has been employed in many applications such as image segmentation, document clustering and vector quantization. Divisive cl...
IDA
2009
Springer
14 years 3 months ago
2009
Springer
One of the most important and challenging questions in the area of clustering is how to choose the best-fitting algorithm and parameterization to obtain an optiml clustering for t...
ICALP
2010
Springer
14 years 1 months ago
2010
Springer
Abstract. We consider the clustering with diversity problem: given a set of colored points in a metric space, partition them into clusters such that each cluster has at least point...
HIS
2008
13 years 10 months ago
2008
The class imbalance problem (when one of the classes has much less samples than the others) is of great importance in machine learning, because it corresponds to many critical app...