Linkage Clustering Ensemble
Generate a cluster assignment from a CTS, SRS, or ASRS similarity matrix.
LCE(E, k, dc = 0.8, R = 10, sim.mat = c("cts", "srs", "asrs"))E |
is an array of clustering results. An error is thrown if there are
missing values. |
k |
requested number of clusters |
dc |
decay constant for CTS, SRS, or ASRS matrix |
R |
number of repetitions for SRS matrix |
sim.mat |
similarity matrix; choices are "cts", "srs", "asrs". |
a vector containing the cluster assignment from either the CTS, SRS, or ASRS similarity matrices
Johnson Liu
Other consensus functions:
CSPA(),
LCA(),
k_modes(),
majority_voting()
data(hgsc)
dat <- hgsc[1:100, 1:50]
x <- consensus_cluster(dat, nk = 4, reps = 4, algorithms = c("km", "hc"),
progress = FALSE)
## Not run:
LCE(E = x, k = 4, sim.mat = "asrs")
## End(Not run)
x <- apply(x, 2:4, impute_knn, data = dat, seed = 1)
x_imputed <- impute_missing(x, dat, nk = 4)
LCE(E = x_imputed, k = 4, sim.mat = "cts")Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.