Effective Decision Making and Data Visualization Using Partitive Clustering and Principal Component Analysis (PCA) for High Dimensional Pareto Frontier Data

Authors :: Sumeet Parashar
Zhendan Xue
Saket Kansara
Source :: SAE International Journal of Materials and Manufacturing. 8:336-343
Publication Year :: 2015
Publisher :: SAE International, 2015.

Subjects :: business.industry
Computer science
Pareto principle
Pattern recognition
General Medicine
computer.software_genre
Partitive
Visualization
Frontier
Data visualization
Principal component analysis
Data file
Artificial intelligence
Data mining
business
Cluster analysis
computer

Tools