e1071::gknn | Generalized k-Nearest Neighbors Classification or Regression | |
e1071::naiveBayes | Naive Bayes Classifier | |
e1071::plot.svm | Plot SVM Objects | |
e1071::predict.svm | Predict Method for Support Vector Machines | |
e1071::svm | Support Vector Machines | |
e1071::write.svm | Write SVM Object to File | |
FNN::knn | k-Nearest Neighbour Classification | |
FNN::knn.cv | k-Nearest Neighbour Classification Cross-Validation | |
FNN::ownn | Optimal Weighted Nearest Neighbor Classification | |
mclust::BrierScore | Brier score to assess the accuracy of probabilistic predictions | |
mclust::classPriorProbs | Estimation of class prior probabilities by EM algorithm | |
class::SOM | Self-Organizing Maps: Online Algorithm | |
class::batchSOM | Self-Organizing Maps: Batch Algorithm | |
class::condense | Condense training set for k-NN classifier | |
class::knn | k-Nearest Neighbour Classification | |
class::knn.cv | k-Nearest Neighbour Cross-Validatory Classification | |
class::knn1 | 1-Nearest Neighbour Classification | |
class::lvq1 | Learning Vector Quantization 1 | |
class::lvq2 | Learning Vector Quantization 2.1 | |
class::lvq3 | Learning Vector Quantization 3 | |
class::lvqinit | Initialize a LVQ Codebook | |
class::lvqtest | Classify Test Set from LVQ Codebook | |
class::multiedit | Multiedit for k-NN Classifier | |
class::olvq1 | Optimized Learning Vector Quantization 1 | |
class::reduce.nn | Reduce Training Set for a k-NN Classifier | |
class::somgrid | Plot SOM Fits |