ADABOOST                Classification using AdaBoost
APRIORI                 Classification using APRIORI
BAGGING                 Classification using Bagging
CA                      Correspondence Analysis (CA)
CART                    Classification using CART
CDA                     Classification using Canonical Discriminant
                        Analysis
DBSCAN                  DBSCAN clustering method
EM                      Expectation-Maximization clustering method
FEATURESELECTION        Classification with Feature selection
GRADIENTBOOSTING        Classification using Gradient Boosting
HCA                     Hierarchical Cluster Analysis method
KERREG                  Kernel Regression
KMEANS                  K-means method
KNN                     Classification using k-NN
LDA                     Classification using Linear Discriminant
                        Analysis
LINREG                  Linear Regression
LR                      Classification using Logistic Regression
MCA                     Multiple Correspondence Analysis (MCA)
MEANSHIFT               MeanShift method
MLP                     Classification using Multilayer Perceptron
MLPREG                  Multi-Layer Perceptron Regression
NB                      Classification using Naive Bayes
NMF                     Non-negative Matrix Factorization
PCA                     Principal Component Analysis (PCA)
POLYREG                 Polynomial Regression
QDA                     Classification using Quadratic Discriminant
                        Analysis
RANDOMFOREST            Classification using Random Forest
SOM                     Self-Organizing Maps clustering method
SPECTRAL                Spectral clustering method
STUMP                   Classification using one-level decision tree
SVD                     Singular Value Decomposition
SVM                     Classification using Support Vector Machine
SVMl                    Classification using Support Vector Machine
                        with a linear kernel
SVMr                    Classification using Support Vector Machine
                        with a radial kernel
SVR                     Regression using Support Vector Machine
SVRl                    Regression using Support Vector Machine with a
                        linear kernel
SVRr                    Regression using Support Vector Machine with a
                        radial kernel
TEXTMINING              Text mining
TSNE                    t-distributed Stochastic Neighbor Embedding
accident2014            Sample of car accident location in the UK
                        during year 2014.
alcohol                 Alcohol dataset
apriori-class           APRIORI classification model
augmentation            Duplicate and add noise to a dataset
autompg                 Auto MPG dataset
beetles                 Flea beetles dataset
birth                   Birth dataset
boosting-class          Boosting methods model
boxclus                 Clustering Box Plots
britpop                 Population and location of 18 major british
                        cities.
cartdepth               Depth
cartinfo                CART information
cartleafs               Number of Leafs
cartnodes               Number of Nodes
cartplot                CART Plot
cda-class               Canonical Disciminant Analysis model
closegraphics           Close a graphics device
compare                 Comparison of two sets of clusters
compare.accuracy        Comparison of two sets of clusters, using
                        accuracy
compare.jaccard         Comparison of two sets of clusters, using
                        Jaccard index
compare.kappa           Comparison of two sets of clusters, using kappa
confusion               Confuion matrix
cookies                 Cookies dataset
cookplot                Plot the Cook's distance of a linear regression
                        model
correlated              Correlated variables
cost.curves             Plot Cost Curves
credit                  Credit dataset
data.diag               Square dataset
data.gauss              Gaussian mixture dataset
data.parabol            Parabol dataset
data.target1            Target1 dataset
data.target2            Target2 dataset
data.twomoons           Two moons dataset
data.xor                XOR dataset
data1                   "data1" dataset
data2                   "data2" dataset
data3                   "data3" dataset
dataset-class           Training set and test set
dbs-class               DBSCAN model
decathlon               Decathlon dataset
distplot                Plot a k-distance graphic
em-class                Expectation-Maximization model
eucalyptus              Eucalyptus dataset
evaluation              Evaluation of classification or regression
                        predictions
evaluation.accuracy     Accuracy of classification predictions
evaluation.adjr2        Adjusted R2 evaluation of regression
                        predictions
evaluation.fmeasure     F-measure
evaluation.fowlkesmallows
                        Fowlkes–Mallows index
evaluation.goodness     Goodness
evaluation.jaccard      Jaccard index
evaluation.kappa        Kappa evaluation of classification predictions
evaluation.msep         MSEP evaluation of regression predictions
evaluation.precision    Precision of classification predictions
evaluation.r2           R2 evaluation of regression predictions
evaluation.recall       Recall of classification predictions
exportgraphics          Open a graphics device
exportgraphics.off      Toggle graphic exports
factorial-class         Factorial analysis results
filter.rules            Filtering a set of rules
frequentwords           Frequent words
general.rules           Remove redundancy in a set of rules
getvocab                Extract words and phrases from a corpus
intern                  Clustering evaluation through internal criteria
intern.dunn             Clustering evaluation through Dunn's index
intern.interclass       Clustering evaluation through interclass
                        inertia
intern.intraclass       Clustering evaluation through intraclass
                        inertia
ionosphere              Ionosphere dataset
kaiser                  Kaiser rule
kmeans.getk             Estimation of the number of clusters for
                        _K_-means
knn-class               K Nearest Neighbours model
leverageplot            Plot the leverage points of a linear regression
                        model
linsep                  Linsep dataset
loadtext                load a text file
meanshift-class         MeanShift model
model-class             Generic classification or regression model
movies                  Movies dataset
ozone                   Ozone dataset
params-class            Learning Parameters
performance             Performance estimation
plot.cda                Plot function for cda-class
plot.factorial          Plot function for factorial-class
plot.som                Plot function for som-class
plotavsp                Plot actual vs. predictions
plotcloud               Plot word cloud
plotclus                Generic Plot Method for Clustering
plotdata                Advanced plot function
plotzipf                Plot rank versus frequency
predict.apriori         Model predictions
predict.boosting        Model predictions
predict.cda             Model predictions
predict.dbs             Predict function for DBSCAN
predict.em              Predict function for EM
predict.kmeans          Predict function for K-means
predict.knn             Model predictions
predict.meanshift       Predict function for MeanShift
predict.model           Model predictions
predict.selection       Model predictions
predict.textmining      Model predictions
print.apriori           Print a classification model obtained by
                        APRIORI
print.factorial         Plot function for factorial-class
pseudoF                 Pseudo-F
query.docs              Document query
query.words             Word query
reg1                    reg1 dataset
reg2                    reg2 dataset
regplot                 Plot function for a regression model
resplot                 Plot the studentized residuals of a linear
                        regression model
roc.curves              Plot ROC Curves
rotation                Rotation
runningtime             Running time
scatterplot             Clustering Scatter Plots
selectfeatures          Feature selection for classification
selection-class         Feature selection
snore                   Snore dataset
som-class               Self-Organizing Maps model
spectral-class          Spectral clustering model
spine                   Spine dataset
splitdata               Splits a dataset into training set and test set
stability               Clustering evaluation through stability
summary.apriori         Print summary of a classification model
                        obtained by APRIORI
temperature             Temperature dataset
textmining-class        Text mining object
titanic                 Titanic dataset
treeplot                Dendrogram Plots
universite              University dataset
vectorize.docs          Document vectorization
vectorize.words         Word vectorization
vectorizer-class        Document vectorization object
vowels                  Vowels dataset
wheat                   Wheat dataset
wine                    Wine dataset
zoo                     Zoo dataset
