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» The Method of Quantum Clustering
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ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
15 years 6 months ago
Combining Multiple Weak Clusterings
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...
Alexander P. Topchy, Anil K. Jain, William F. Punc...
ICWN
2010
14 years 11 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...
SDM
2009
SIAM
225views Data Mining» more  SDM 2009»
15 years 10 months ago
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
Fei Wang, Chris H. Q. Ding, Tao Li
ICDM
2009
IEEE
153views Data Mining» more  ICDM 2009»
14 years 11 months ago
A New Clustering Algorithm Based on Regions of Influence with Self-Detection of the Best Number of Clusters
Clustering methods usually require to know the best number of clusters, or another parameter, e.g. a threshold, which is not ever easy to provide. This paper proposes a new graph-b...
Fabrice Muhlenbach, Stéphane Lallich
HCI
2007
15 years 2 months ago
Designers' Perceptions of Methods of Involving and Understanding Users
Numerous methods have been developed to help designers to understand and consider the needs and desires of end-users, but many have had limited uptake in design practice. In order ...
Joy Goodman, Susannah Clarke, Patrick Langdon, P. ...