Number of PCA dimensions to keep for distance measure
nsig
Number of significant neighbours to keep for Gaussian kernel
dmat
Optional. Give your own distance matrix
mkv
Optional. Give your own markov matrix.
plotDims
Default 2. Number of dimensions to plot
kernSq
Factor to tighten kernel - operates on sigmas.
...
Additonal parameters not currently in use
Value
A list of l, dimensionality reduced data.frame;
clust, returned from louvainClust();
adj, Sparse, pruned adjacency matrix;
dmat, distance matrix;
pca, PCA reduced matrix.
sparse, diagnostics on adj prior to applying sparseMarkov().