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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