Clustering of Variables Around Latent Variables

apples_sh | apples from southern hemisphere data set |

AUPA_psycho | Psychological eating behavior data set |

authen_NMR | Authentication data set/ NMR spectra |

block.scale | Scaling of a three-way array |

boot_clv | Boostrapping for assessing the stability of a CLV result |

ciders | ciders data |

CLV | Hierarchical clustering of variables with consolidation |

CLV3W | Hierarchical clustering of variables (associated with mode 2... |

CLV3W_kmeans | Partitioning algorithm of a set of variables (associated with... |

CLV_kmeans | K-means algorithm for the clustering of variables |

coffee | coffee data |

data_biplot | biplot for the dataset |

get_comp | latent components associated with each cluster |

get_loading | Loadings of the variables on the latent component, in each... |

get_partition | clusters memberships for a partition into K clusters. |

get_weight | Weights of the external variables, or additional mode, on the... |

imput_clv | Imputation of a data matrix based on CLV results |

LCLV | L-CLV for L-shaped data |

lm_CLV | linear model based on CLV |

plot.clv | Graphical representation of the CLV clustering stages |

plot.clv3w | Graphical representation of the CLV3W hierarchical clustering... |

plot.lclv | Graphical representation of the LCLV clustering stages |

plot_var | Representation of the variables and their group membership |

plot_var.clv3w | Scores plot from a Candecomp Parafac analysis. The group... |

predict.lmclv | prediction for lmCLV models. |

print.clv | Print the CLV results |

print.clv3w | Print the CLV3W results |

print.lclv | Print the LCLV results |

stand_quali | Standardization of the qualitative variables |

summary.clv | summary and description of the clusters of variables |

summary.clv3w | Summary and description of the clusters of (mode 2) variables... |

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