603 search results - page 33 / 121 » Advances in constrained clustering |
PAKDD
2004
ACM
14 years 3 months ago
2004
ACM
This paper proposes a two-step graph partitioning method to discover constrained clusters with an objective function that follows the well-known minmax clustering principle. Compar...
ISCAS
2006
IEEE
14 years 3 months ago
2006
IEEE
Abstract—We describe a neuromorphic chip with a twolayer excitatory-inhibitory recurrent network of spiking neurons that exhibits localized clusters of neural activity. Unlike ot...
KDD
2006
ACM
14 years 10 months ago
2006
ACM
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
PRIB
2009
Springer
14 years 4 months ago
2009
Springer
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
NIPS
2008
13 years 11 months ago
2008
We show that an important and computationally challenging solution space feature of the graph coloring problem (COL), namely the number of clusters of solutions, can be accurately...