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» Clustering with Instance-level Constraints
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ICPR
2008
IEEE
14 years 3 months ago
Feature selection for clustering with constraints using Jensen-Shannon divergence
In semi-supervised clustering, domain knowledge can be converted to constraints and used to guide the clustering. In this paper we propose a feature selection algorithm for semi-s...
Yuanhong Li, Ming Dong, Yunqian Ma
IAT
2009
IEEE
14 years 3 months ago
Clustering with Constrained Similarity Learning
—This paper proposes a method of learning a similarity matrix from pairwise constraints for interactive clustering. The similarity matrix can be learned by solving an optimizatio...
Masayuki Okabe, Seiji Yamada
ICML
2000
IEEE
14 years 9 months ago
Clustering with Instance-level Constraints
Clustering algorithms conduct a search through the space of possible organizations of a data set. In this paper, we propose two types of instance-level clustering constraints ? mu...
Kiri Wagstaff, Claire Cardie
SDM
2009
SIAM
176views Data Mining» more  SDM 2009»
14 years 6 months ago
Constraint-Based Subspace Clustering.
In high dimensional data, the general performance of traditional clustering algorithms decreases. This is partly because the similarity criterion used by these algorithms becomes ...
Élisa Fromont, Adriana Prado, Céline...
CLUSTER
2006
IEEE
14 years 2 months ago
Stochastic Scheduling with Availability Constraints in Heterogeneous Clusters
High availability plays an important role in heterogeneous clusters, where processors operate at different speeds and are not continuously available for processing. Existing sched...
Tao Xie 0004, Xiao Qin