checkParts | Comparing partitions (clustering) |
clustering | Main clustering functions |
countPart | Comparing partitions (clustering) |
datacf | Two artificial data sets |
dataIn | Two artificial data sets |
dataOut1 | Two artificial data sets |
dataOut2 | Two artificial data sets |
dest_clust | Dimension estimation |
dest_fara | Dimension estimation |
dest_levi | Dimension estimation |
dest_PCA | Dimension estimation |
dest_pett | Dimension estimation |
dest_rgrl | Dimension estimation |
dest_RML | Dimension estimation |
dest_sliv | Dimension estimation |
dest_unbl | Dimension estimation |
dimension | Dimension estimation |
findK_gtclusts | Main clustering functions |
fmetam | Build and validate the functional outputs model |
fmetam_1cl | Build and validate the functional outputs model |
fm_resids | Build and validate the functional outputs model |
fperrors | Empirical error estimators |
fusion_smcl | Rearrangement of clusters |
getcoefc | Mixing functional models |
getNI | Top-level neighborhoods functions |
gtclusts | Main clustering functions |
gtclusts_inout | Main clustering functions |
gt_cxcomps | Functions around graph conenxity |
km_dists | k-means like functions |
km_PCA | k-means like functions |
learnClassif | Building a classifier |
learnRegress | Statistical learning (regression) |
linear_rec | Around orthonormal bases |
linEmb | Around orthonormal bases |
LPcaML | Local PCA Manifold Learning |
LPcaML_rec | Local PCA Manifold Learning |
mergeToK | Rearrangement of clusters |
mixpredf | Mixing functional models |
modelcf | package modelcf |
neighbs_RML | Top-level neighborhoods functions |
nfoldcv | Build and validate the functional outputs model |
nlin_adaptRec | Dimensionality reduction and associate reconstruction |
nlin_redDim | Dimensionality reduction and associate reconstruction |
optimParams_classif | Building a classifier |
optimParams_regress | Statistical learning (regression) |
phclust | Main clustering functions |
plotC | Printing and plotting utilitiy functions |
plotPts | Printing and plotting utilitiy functions |
predict.modelcf | Predictions for some models |
predictClassif | Predictions for some models |
predictRegress | Predictions for some models |
print.modelcf | Printing and plotting utilitiy functions |
reordering | Rearrangement of clusters |
RML | Riemannian Manifold Learning |
RML_rec | Riemannian Manifold Learning |
testConnexity | Functions around graph conenxity |
varInfo | Comparing partitions (clustering) |