Fixed point clusters, clusterwise regression and discriminant plots

[Package List] [Top]

Documentation for package `fpc' version 1.1-3

Help Pages

adcoord Asymmetric discriminant coordinates
ancoord Asymmetric neighborhood based discriminant coordinates
awcoord Asymmetric weighted discriminant coordinates
batcoord Bhattacharyya discriminant projection
batvarcoord Bhattacharyya discriminant projection
c.weight Weight function for AWC
can Generation of the tuning constant for regression fixed point clusters
clusexpect Expected value of the number of times a fixed point cluster is found
cluster.stats Cluster validation statistics
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)
discrcoord Discriminant coordinates/canonical variates
discrproj Linear dimension reduction for classification
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
itnumber Number of regression fixed point cluster iterations
mahalanodisc Mahalanobis for AWC
mahalanofix Mahalanobis distances from center of indexed points
mahalanofuz Mahalanobis distances from center of indexed points
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
plot.mfpc Mahalanobis Fixed Point Clusters
plot.rfpc Linear Regression Fixed Point Clusters
plotcluster Discriminant projection plot.
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
wfu Weight function (for Mahalabobis distances)