CIMLR {SIMLR} | R Documentation

## CIMLR

### Description

perform the CIMLR clustering algorithm

### Usage

    CIMLR(X, c, no.dim = NA, k = 10, cores.ratio = 1)

### Arguments

`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

### Value

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

### Examples

    CIMLR(X = GliomasReduced$in_X, c = 3, cores.ratio = 0)

[Package SIMLR version 1.6.0 Index]