| adjusted.cluster.BIC | BIC for subspace clustering |
| choose.cluster | Choose subspace closest to the given variable |
| choose.cluster.BIC | Selects subspace closest to given variable (according to BIC) |
| cluster.BIC | BIC for subspace clustering |
| data.simulation | Simulating subspace clustering data |
| data.simulation.factors | Simulating subspace clustering data (shared factors) |
| getSigma | Computing joint sigma for all clusters |
| misclassification | Computes misclassification rate |
| mlcc.bic | Subspace clustering with automatic estimation of number of... |
| mlcc.kmeans | Multiple Latent Components Clustering - kmeans algorithm |
| mlcc.reps | Subspace clustering assuming that the number of clusters is... |
| plot.mlcc.fit | Plot mlcc.fit class object |
| print.mlcc.fit | Print mlcc.fit class object |
| print.mlcc.reps.fit | Print mlcc.reps.fit class object |
| varclust | Variable Clustering with Multiple Latent Components... |
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