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