Least-Squares Bilinear Clustering for Three-Way Data
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Documentation for package ‘lsbclust’ version 1.1
Help Pages
| lsbclust-package | Least Squares Latent Class Matrix Factorization |
| akmeans | K-Means Over One Way of An Three-Way Array |
| AssignCluster | C++ Function for Weighted K-Means |
| bicomp | Bilinear Decomposition of a Matrix |
| carray | Double-Centre a Three-way Array |
| cfsim | Compare Simulation Results |
| cfsim.akmeans | Compare LSBCLUST Simulation Results |
| cfsim.lsbclust | Compare LSBCLUST Simulation Results |
| cfsim.T3Clusf | Compare LSBCLUST Simulation Results |
| ClustMeans | C++ Function for Cluster Means |
| cl_class_ids.akmeans | S3 export |
| cl_class_ids.int.lsbclust | S3 export |
| cl_class_ids.lsbclust_sim_part | S3 export |
| cl_class_ids.T3Clusf | S3 export |
| cmat | Centring Matrix |
| col.kmeans | K-means on the Overall Mean, Row Margins or Column Margins |
| ComputeMeans | C++ Function for Weighted K-Means |
| dcars | Dutch Cars Data |
| fitted.akmeans | Extract Fitted Values for akmeans |
| fitted.lsbclust | Extract Fitted Values for LSBCLUST |
| fitted.T3Clusf | Extract Fitted Values for T3Clusf |
| genproc | Generalized Procrustes Rotation |
| indarr | Create Array of Indicator Matrices |
| int.lsbclust | Interaction Clustering in Least Squares Bilinear Clustering |
| is.cl_hard_partition.akmeans | S3 export |
| is.cl_hard_partition.int.lsbclust | S3 export |
| is.cl_hard_partition.lsbclust_sim_part | S3 export |
| is.cl_hard_partition.T3Clusf | S3 export |
| is.cl_partition.akmeans | S3 export |
| is.cl_partition.int.lsbclust | S3 export |
| is.cl_partition.lsbclust_sim_part | S3 export |
| is.cl_partition.T3Clusf | S3 export |
| KMeansW | C++ Function for Weighted K-Means |
| LossMat | C++ Function for Interaction Loss Function |
| lov | List-of-values Data Set |
| lsbclust | Least-squares Bilinear Clustering of Three-way Data |
| meanbiplot | Biplots of |
| meanheatmap | Plot Heatmap of A Matrix |
| orc.lsbclust | K-means on the Overall Mean, Row Margins or Column Margins |
| ovl.kmeans | K-means on the Overall Mean, Row Margins or Column Margins |
| plot.bicomp | Plot a 'bicomp' Object |
| plot.col.kmeans | Plot method for class 'col.kmeans' |
| plot.int.lsbclust | Plot Method for Class 'int.lsbclust' |
| plot.lsbclust | Plot method for class 'lsbclust' |
| plot.ovl.kmeans | Plot method for class 'ovl.kmeans' |
| plot.row.kmeans | Plot method for class 'row.kmeans' |
| plot.step.lsbclust | Plot method for class 'step.lsbclust' |
| plot.T3Clusf | Plot Method for Class 'T3Clusf' |
| print.lsbclust | Print method for object of class 'lsbclust' |
| rlsbclust | Simulate from LSBCLUST Model |
| rorth | Generate A Random Orthonormal Matrix |
| row.kmeans | K-means on the Overall Mean, Row Margins or Column Margins |
| simsv | Randomly Generate Positive Singular Values |
| sim_lsbclust | Simulate and Analyze LSBCLUST |
| step.lsbclust | Model Search for lsbclust |
| summary.int.lsbclust | Summary Method for Class "int.lsbclust" |
| summary.lsbclust | Summary Method for Class "lsbclust" |
| supermarkets | Dutch Supermarkets Data Set |
| T3Clusf | T3Clusf: Tucker3 Fuzzy Cluster Analysis |