adcoord |
Asymmetric discriminant coordinates |
ancoord |
Asymmetric neighborhood based discriminant coordinates |
awcoord |
Asymmetric weighted discriminant coordinates |
batcoord |
Bhattacharyya discriminant projection |
batvarcoord |
Bhattacharyya discriminant projection |
can |
Generation of the tuning constant for regression fixed point clusters |
claraCBI |
Interface functions for clustering methods |
clujaccard |
Jaccard similarity between logical vectors |
clusexpect |
Expected value of the number of times a fixed point cluster is found |
cluster.stats |
Cluster validation statistics |
clusterboot |
Clusterwise cluster stability assessment by resampling |
cmahal |
Generation of tuning constant for Mahalanobis fixed point clusters. |
con.comp |
Connectivity components of an undirected graph |
cov.wml |
Weighted Covariance Matrices (Maximum Likelihood) |
cweight |
Weight function for AWC |
dbscan |
Clustering: DBSCAN density reachability and connectivity |
dbscanCBI |
Interface functions for clustering methods |
discrcoord |
Discriminant coordinates/canonical variates |
discrproj |
Linear dimension reduction for classification |
disthclustCBI |
Interface functions for clustering methods |
distnoisemclustCBI |
Interface functions for clustering methods |
disttrimkmeansCBI |
Interface functions for clustering methods |
fixmahal |
Mahalanobis Fixed Point Clusters |
fixreg |
Linear Regression Fixed Point Clusters |
fpclusters |
Extracting clusters from fixed point cluster objects |
fpclusters.mfpc |
Mahalanobis Fixed Point Clusters |
fpclusters.rfpc |
Linear Regression Fixed Point Clusters |
fpmi |
Mahalanobis Fixed Point Clusters |
hclustCBI |
Interface functions for clustering methods |
hclusttreeCBI |
Interface functions for clustering methods |
itnumber |
Number of regression fixed point cluster iterations |
kmeansCBI |
Interface functions for clustering methods |
kmeansruns |
k-means clustering with several random initializations |
mahalanodisc |
Mahalanobis for AWC |
mahalanofix |
Mahalanobis distances from center of indexed points |
mahalanofuz |
Mahalanobis distances from center of indexed points |
mahalCBI |
Interface functions for clustering methods |
mahalconf |
Mahalanobis fixed point clusters initial configuration |
minsize |
Minimum size of regression fixed point cluster |
mvdcoord |
Mean/variance differences discriminant coordinates |
ncoord |
Neighborhood based discriminant coordinates |
noisemclustCBI |
Interface functions for clustering methods |
pamk |
Partitioning around medoids with estimation of number of clusters |
pamkCBI |
Interface functions for clustering methods |
plot.clboot |
Clusterwise cluster stability assessment by resampling |
plot.dbscan |
Clustering: DBSCAN density reachability and connectivity |
plot.mfpc |
Mahalanobis Fixed Point Clusters |
plot.rfpc |
Linear Regression Fixed Point Clusters |
plotcluster |
Discriminant projection plot. |
predict.dbscan |
Clustering: DBSCAN density reachability and connectivity |
print.clboot |
Clusterwise cluster stability assessment by resampling |
print.dbscan |
Clustering: DBSCAN density reachability and connectivity |
print.mfpc |
Mahalanobis Fixed Point Clusters |
print.rfpc |
Linear Regression Fixed Point Clusters |
print.summary.mfpc |
Mahalanobis Fixed Point Clusters |
print.summary.rfpc |
Linear Regression Fixed Point Clusters |
randcmatrix |
Random partition matrix |
randconf |
Generate a sample indicator vector |
regem |
Mixture Model ML for Clusterwise Linear Regression |
regmix |
Mixture Model ML for Clusterwise Linear Regression |
rFace |
"Face-shaped" clustered benchmark datasets |
rfpi |
Linear Regression Fixed Point Clusters |
simmatrix |
Extracting intersections between clusters from fpc-object |
solvecov |
Inversion of (possibly singular) symmetric matrices |
sseg |
Position in a similarity vector |
summary.mfpc |
Mahalanobis Fixed Point Clusters |
summary.rfpc |
Linear Regression Fixed Point Clusters |
tdecomp |
Root of singularity-corrected eigenvalue decomposition |
tonedata |
Tone perception data |
trimkmeansCBI |
Interface functions for clustering methods |
wfu |
Weight function (for Mahalabobis distances) |