388 search results - page 20 / 78 » A Lattice-Based Approach to Hierarchical Clustering |
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
Dominant sets are a new graph-theoretic concept that has proven to be relevant in partitional (flat) clustering as well as image segmentation problems. However, in many computer v...
RECOMB
2002
Springer
14 years 8 months ago
2002
Springer
Biological data, such as gene expression profiles or protein sequences, is often organized in a hierarchy of classes, where the instances assigned to "nearby" classes in...
ICC
2008
IEEE
14 years 2 months ago
2008
IEEE
— The complexity of current Internet applications makes the understanding of network traffic a challenging task. By providing larger-scale aggregates for analysis, unsupervised ...
PAMI
2008
13 years 7 months ago
2008
Hierarchical clustering is a stepwise clustering method usually based on proximity measures between objects or sets of objects from a given data set. The most common proximity meas...
EVOW
2006
Springer
13 years 11 months ago
2006
Springer
In this paper, we introduce a novel objective function for the hierarchical clustering of data from distance matrices, a very relevant task in Bioinformatics. To test the robustnes...