| attributes.simultaneous-class | Simultaneous results attributes |
| attributes.tandem-class | Tandem results attributes |
| fit.3fkmeans | 3FKMeans Model |
| fit.3fkmeans-method | 3FKMeans Model |
| fit.ct3clus | CT3Clus Model |
| fit.ct3clus-method | CT3Clus Model |
| fit.t3clus | T3Clus Model |
| fit.t3clus-method | T3Clus Model |
| fit.twcfta | TWCFTA model |
| fit.twcfta-method | TWCFTA model |
| fit.twfcta | TWFCTA model |
| fit.twfcta-method | TWFCTA model |
| fold | Folding Matrix to Tensor by Mode. |
| generate_dataset | Three-Mode Dataset Generator for Simulations |
| generate_rmfm | Random Membership Function Matrix Generator |
| onekmeans | One-run of the K-means clustering technique |
| pseudof.full | PseudoF Score in the Full-Space |
| pseudof.reduced | PseudoF Score in the Reduced-Space |
| simultaneous | Simultaneous Model Constructor |
| simultaneous-class | Simultaneous Model |
| tandem | Initializes an instance of the tandem model required by the tandem methods. |
| tandem-class | Tandem Class |
| unfold | Tensor Matricization |