CIMLR {SIMLR} | R Documentation |
perform the CIMLR clustering algorithm
CIMLR(X, c, no.dim = NA, k = 10, cores.ratio = 1)
X |
a list of multi-omic data each of which is an (m x n) data matrix of measurements of cancer patients |
c |
number of clusters to be estimated over X |
no.dim |
number of dimensions |
k |
tuning parameter |
cores.ratio |
ratio of the number of cores to be used when computing the multi-kernel |
clusters the patients based on CIMLR and their similarities
list of 8 elements describing the clusters obtained by CIMLR, of which y are the resulting clusters: y = results of k-means clusterings, S = similarities computed by CIMLR, F = results from network diffiusion, ydata = data referring the the results by k-means, alphaK = clustering coefficients, execution.time = execution time of the present run, converge = iterative convergence values by T-SNE, LF = parameters of the clustering