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CORR
2007
Springer
198views Education» more  CORR 2007»
14 years 11 months ago
Clustering and Feature Selection using Sparse Principal Component Analysis
In this paper, we study the application of sparse principal component analysis (PCA) to clustering and feature selection problems. Sparse PCA seeks sparse factors, or linear combi...
Ronny Luss, Alexandre d'Aspremont
DATASCIENCE
2002
84views more  DATASCIENCE 2002»
14 years 11 months ago
The application of Principal Component Analysis to materials science data
The relationship between apparently disparate sets of data is a critical component of interpreting materials' behavior, especially in terms of assessing the impact of the mic...
Changwon Suh, Arun Rajagopalan, Xiang Li, Krishna ...
ER
2007
Springer
101views Database» more  ER 2007»
15 years 6 months ago
Using Attributed Goal Graphs for Software Component Selection: An Application of Goal-Oriented Analysis to Decision Making
During software requirements analysis and design steps, developers and stakeholders have many alternatives of artifacts such as software component selection and should make decisi...
Kazuma Yamamoto, Motoshi Saeki
APNOMS
2006
Springer
15 years 3 months ago
Detecting and Identifying Network Anomalies by Component Analysis
Many research works address detection and identification of network anomalies using traffic analysis. This paper considers large topologies, such as those of an ISP, with traffic a...
Le The Quyen, Marat Zhanikeev, Yoshiaki Tanaka