Usage
SpaCC_Path(X, w, gamma.seq, nu = 1/nrow(X), verbose = FALSE, tol.base = 1e-04, tol.miss = 1e-04, max.iter.base = 5000, max.iter.miss = 500)
Arguments
X
A subject (n) by variable (p) matrix; the data
w
A vector of length p-1; weights for clustering
gamma.seq
A vector of positive scalars; regularization parameter sequence
nu
A positive scalar; augmented Lagrangian paramter
verbose
Logical; should messages be printed?
tol.base
A small positive scalar; convergence tolerance for base SpaCC problem.
tol.miss
A small positive scalar; convergence tolerance for missing data problem.
max.iter.base
A positive integer; maximum number of iterations for base SpaCC problem
max.iter.miss
A positive integer; maximum number of iterations for missing data problem