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ICPR
2006
IEEE
16 years 5 months ago
Learning Pairwise Similarity for Data Clustering
Each clustering algorithm induces a similarity between given data points, according to the underlying clustering criteria. Given the large number of available clustering technique...
Ana L. N. Fred, Anil K. Jain
ECML
2007
Springer
15 years 10 months ago
Clustering Trees with Instance Level Constraints
Abstract. Constrained clustering investigates how to incorporate domain knowledge in the clustering process. The domain knowledge takes the form of constraints that must hold on th...
Jan Struyf, Saso Dzeroski
ICWN
2010
15 years 2 months ago
Efficient Cluster Head Election in Surveillance Reconnaissance Sensor Network
- Using a wireless sensor network, variety applications are being developed. In this paper, considering the field of military surveillance and reconnaissance sensors in the network...
Young Bag Moon, Nae Soo Kim, Cheol Sig Pyo, Keun W...
IJCNN
2007
IEEE
15 years 10 months ago
Iterative Feature Selection in Gaussian Mixture Clustering with Automatic Model Selection
— This paper proposes an algorithm to deal with the feature selection in Gaussian mixture clustering by an iterative way: the algorithm iterates between the clustering and the un...
Hong Zeng, Yiu-ming Cheung
IJIT
2004
15 years 5 months ago
IMDC: An Image-Mapped Data Clustering Technique for Large Datasets
In this paper, we present a new algorithm for clustering data in large datasets using image processing approaches. First the dataset is mapped into a binary image plane. The synthe...
Faruq A. Al-Omari, Nabeel I. Al-Fayoumi