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» Analysis of Agglomerative Clustering
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WEBI
2007
Springer
16 years 18 days 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
ACSAC
2005
IEEE
16 years 4 days ago
Understanding Complex Network Attack Graphs through Clustered Adjacency Matrices
We apply adjacency matrix clustering to network attack graphs for attack correlation, prediction, and hypothesizing. We self-multiply the clustered adjacency matrices to show atta...
Steven Noel, Sushil Jajodia
AUSDM
2008
Springer
212views Data Mining» more  AUSDM 2008»
15 years 8 months ago
Clustering and Classification of Maintenance Logs using Text Data Mining
Spreadsheets applications allow data to be stored with low development overheads, but also with low data quality. Reporting on data from such sources is difficult using traditiona...
Brett Edwards, Michael Zatorsky, Richi Nayak
CIS
2008
Springer
15 years 8 months ago
Cooperation Controlled Competitive Learning Approach for Data Clustering
Rival Penalized Competitive Learning (RPCL) and its variants can perform clustering analysis efficiently with the ability of selecting the cluster number automatically. Although t...
Tao Li, Wenjiang Pei, Shao-ping Wang, Yiu-ming Che...
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
15 years 8 months ago
Clustering from Constraint Graphs
In constrained clustering it is common to model the pairwise constraints as edges on the graph of observations. Using results from graph theory, we analyze such constraint graphs ...
Ari Freund, Dan Pelleg, Yossi Richter