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MSV
2004
13 years 11 months ago
MABAC - Matrix Based Clustering Algorithm
Clustering is a prominent method in the data mining field. It is a discovery process that groups data such that intra cluster similarity is maximized and the inter cluster similar...
Yonghui Chen, Alan P. Sprague, Kevin D. Reilly
TRUST
2009
Springer
14 years 4 months ago
Securing the Dissemination of Emergency Response Data with an Integrated Hardware-Software Architecture
During many crises, access to sensitive emergency-support information is required to save lives and property. For example, for effective evacuations first responders need the name...
Timothy E. Levin, Jeffrey S. Dwoskin, Ganesha Bhas...
IJCNN
2000
IEEE
14 years 2 months ago
EM Algorithms for Self-Organizing Maps
eresting web-available abstracts and papers on clustering: An Analysis of Recent Work on Clustering Algorithms (1999), Daniel Fasulo : This paper describes four recent papers on cl...
Tom Heskes, Jan-Joost Spanjers, Wim Wiegerinck
ICPR
2008
IEEE
14 years 11 months ago
Multiclass spectral clustering based on discriminant analysis
Many existing spectral clustering algorithms share a conventional graph partitioning criterion: normalized cuts (NC). However, one problem with NC is that it poorly captures the g...
Xi Li, Zhongfei Zhang, Yanguo Wang, Weiming Hu
ICML
2007
IEEE
14 years 11 months ago
Adaptive dimension reduction using discriminant analysis and K-means clustering
We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to ...
Chris H. Q. Ding, Tao Li