Determining sources of relative inefficiency in heterogeneous samples: Methodology using Cluster Analysis, DEA and Neural Networks.
Sergey SamoilenkoKweku-Muata Osei-BrysonPublished in: Eur. J. Oper. Res. (2010)
Keyphrases
- cluster analysis
- neural network
- categorical data
- data clustering
- hierarchical latent class models
- clustering algorithm
- clustering method
- data mining
- k means
- neural gas
- data envelopment analysis
- factor analysis
- unsupervised learning
- correlation analysis
- fuzzy clustering
- data sets
- pattern recognition
- cluster validity
- data mining techniques
- clustering analysis
- microarray data
- data analysis
- prior knowledge
- information retrieval
- fuzzy logic
- partitional clustering
- latent class models
- training set
- fuzzy c means
- self organizing maps
- image segmentation
- decision trees
- data sources
- real world
- databases