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» Intractability and clustering with constraints
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TKDE
2012
245views Formal Methods» more  TKDE 2012»
13 years 2 days ago
Semi-Supervised Maximum Margin Clustering with Pairwise Constraints
—The pairwise constraints specifying whether a pair of samples should be grouped together or not have been successfully incorporated into the conventional clustering methods such...
Hong Zeng, Yiu-ming Cheung
WEBI
2007
Springer
15 years 3 months ago
Pairwise Constraints-Guided Non-negative Matrix Factorization for Document Clustering
Nonnegative Matrix Factorization (NMF) has been proven to be effective in text mining. However, since NMF is a well-known unsupervised components analysis technique, the existing ...
Yujiu Yang, Bao-Gang Hu
IMCSIT
2010
14 years 7 months ago
Modelling, Optimization and Execution of Workflow Applications with Data Distribution, Service Selection and Budget Constraints
Abstract--The paper proposes a model which allows integration of services published by independent providers into scientific or business workflows. Optimization algorithms are prop...
Pawel Czarnul
CSCLP
2006
Springer
15 years 1 months ago
Efficient Recognition of Acyclic Clustered Constraint Satisfaction Problems
Abstract. In this paper we present a novel approach to solving Constraint Satisfaction Problems whose constraint graphs are highly clustered and the graph of clusters is close to b...
Igor Razgon, Barry O'Sullivan
ICTAI
2007
IEEE
15 years 4 months ago
Curve Clustering with Spatial Constraints for Analysis of Spatiotemporal Data
In this paper we present a new approach for curve clustering designed for analysis of spatiotemporal data. Such kind of data contains both spatial and temporal patterns that we de...
Konstantinos Blekas, Christophoros Nikou, Nikolas ...