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| Adjacency | Computation of clustering model by support vector machine |
| Adjacency-method | Computation of clustering model by support vector machine |
| AdjacencyPP | Computation of clustering model by support vector machine |
| AdjacencyPP-method | Computation of clustering model by support vector machine |
| ClusterEval | Computation of evaluation |
| ClusterEval-class | Class "ClusterEval" |
| ClusterEval-methods | Computation of evaluation |
| ClusterEval.clusterable | Computation of evaluation |
| ClusterEval.clusterable-method | Computation of evaluation |
| ClusterEval.crossval | Computation of evaluation |
| ClusterEval.crossval-method | Computation of evaluation |
| ClusterEval.final | Computation of evaluation |
| ClusterEval.final-method | Computation of evaluation |
| ClusterEval.Pvalue | Computation of evaluation |
| ClusterEval.Pvalue-method | Computation of evaluation |
| ClusterEval.scalable | Computation of evaluation |
| ClusterEval.scalable-method | Computation of evaluation |
| Cterm | data matrix |
| DataSampling | Computation of evaluation |
| DataSampling-method | Computation of evaluation |
| ExportClusters | Display function of an svc object |
| ExportClusters-method | Display function of an svc object |
| findSvcModel | Computation of clustering model by support vector machine |
| findSvcModel-class | Class "findSvcModel" |
| findSvcModel-method | Computation of clustering model by support vector machine |
| findSvcModel-methods | Computation of clustering model by support vector machine |
| findSvcModel.Eval | Computation of clustering model by support vector machine |
| findSvcModel.Eval-method | Computation of clustering model by support vector machine |
| findSvcModel.IsError | Computation of clustering model by support vector machine |
| findSvcModel.IsError-method | Computation of clustering model by support vector machine |
| findSvcModel.loadMat | Computation of clustering model by support vector machine |
| findSvcModel.loadMat-method | Computation of clustering model by support vector machine |
| findSvcModel.summary | Display function of an svc object |
| findSvcModel.summary-method | Display function of an svc object |
| findSvcModel.Test | Computation of clustering model by support vector machine |
| findSvcModel.Test-method | Computation of clustering model by support vector machine |
| getClassPoints | Computation of clustering model by support vector machine |
| getClassPoints-method | Computation of clustering model by support vector machine |
| GetClusterID | Display function of an svc object |
| GetClusterID-method | Display function of an svc object |
| GetClustersTerm | Display function of an svc object |
| GetClustersTerm-method | Display function of an svc object |
| getlagrangeCoeff | Computation of clustering model by support vector machine |
| getlagrangeCoeff-method | Computation of clustering model by support vector machine |
| getMatriceK | Computation of clustering model by support vector machine |
| getMatriceK-method | Computation of clustering model by support vector machine |
| getNumPoints | Computation of clustering model by support vector machine |
| getNumPoints-method | Computation of clustering model by support vector machine |
| kernelMatrix | Computation of clustering model by support vector machine |
| kernelMatrix-class | Class "kernelMatrix" |
| kernelMatrix-methods | Computation of clustering model by support vector machine |
| kernelMatrix.compute | Computation of clustering model by support vector machine |
| kernelMatrix.compute-method | Computation of clustering model by support vector machine |
| KNN_labelling | Computation of clustering model by support vector machine |
| KNN_labelling-method | Computation of clustering model by support vector machine |
| Labelling | Computation of clustering model by support vector machine |
| Labelling-class | Class "Labelling" |
| Labelling-methods | Computation of clustering model by support vector machine |
| Labelling.compute | Class "Labelling" |
| Labelling.compute-method | Computation of clustering model by support vector machine |
| ModelSV | Computation of lagrange coefficients and radius of the model |
| ModelSV-class | Class "ModelSV" |
| ModelSV-methods | Computation of lagrange coefficients and radius of the model |
| ModelSV.compute | Computation of lagrange coefficients and radius of the model |
| ModelSV.compute-method | Computation of lagrange coefficients and radius of the model |
| MST_labelling | Computation of clustering model by support vector machine |
| MST_labelling-method | Computation of clustering model by support vector machine |
| OptimQuadProgWcluster | Computation of lagrange coefficients and radius of the model |
| OptimQuadProgWcluster-method | Computation of lagrange coefficients and radius of the model |
| plot | Display function of an svc object |
| plot-method | Display function of an svc object |
| ShowClusters | Display function of an svc object |
| ShowClusters-method | Display function of an svc object |
| sk | data matrix |
| term | data matrix about terms x features |