clucols
(Package: fpc) :
Sets of colours and symbols for cluster plotting
clucols gives out a vector of different random colours. clugrey gives out a vector of equidistant grey scales. clusym is a vector of different symbols starting from "1", "2",...
ncoord
(Package: fpc) :
Neighborhood based discriminant coordinates
Neighborhood based discriminant coordinates as defined in Hastie and Tibshirani (1996) and a robustified version as defined in Hennig (2003). The principle is to maximize the projection of a between classes covariance matrix, which is defined by averaging the between classes covariance matrices in the neighborhoods of all points.
Matrix of misclassification probabilities in a mixture distribution between two mixture components from estimated posterior probabilities regardless of component parameters, see Hennig (2010).
Computes (alpha*Sigma1^-1+(1-alpha)*Sigma2^-1)^-1* alpha*(Sigma1^-1*mu1)+(1-alpha)*(Sigma2^-1*mu2)) as required for the computation of the ridgeline (Ray and Lindsay, 2005) to find all density extrema of a two-component Gaussian mixture with mean vectors mu1 and mu2 and covariance matrices Sigma1, Sigma2.
kmeansCBI
(Package: fpc) :
Interface functions for clustering methods
These functions provide an interface to several clustering methods implemented in R, for use together with the cluster stability assessment in clusterboot (as parameter clustermethod; "CBI" stands for "clusterboot interface"). In some situations it could make sense to use them to compute a clustering even if you don't want to run clusterboot, because some of the functions contain some additional features (e.g., normal mixture model based clustering of dissimilarity matrices projected into the Euclidean space by MDS or partitioning around medoids with estimated number of clusters, noise/outlier identification in hierarchical clustering).
providing 
.