On the accuracy of density functional theory for iron - sulfur clusters.
Robert K. SzilagyiMark A. WinslowPublished in: J. Comput. Chem. (2006)
Keyphrases
- high accuracy
- clustering algorithm
- classification accuracy
- theoretical framework
- error rate
- density based clustering algorithm
- maximum error
- general theory
- hierarchical clustering
- computational efficiency
- computational cost
- machine learning
- support vector
- bayesian networks
- roc curve
- magnetic field
- theoretical basis
- unsupervised clustering
- case study
- data sets