I have a matrix of data (dat.mat) with features in rows and cells in columns. Per the documentation for the getComMembership function, clustering this matrix should give labels over the cells. However, in order to actually cluster the cells, the matrix must be transposed, as shown below:
res <- MUDAN::getComMembership(t(dat.mat), k = k, method = igraph::cluster_infomap, verbose = FALSE)
This seems to indicate that the documentation is incorrect. getComMembership takes a matrix with samples in rows rather than columns.
I have a matrix of data (dat.mat) with features in rows and cells in columns. Per the documentation for the
getComMembershipfunction, clustering this matrix should give labels over the cells. However, in order to actually cluster the cells, the matrix must be transposed, as shown below:res <- MUDAN::getComMembership(t(dat.mat), k = k, method = igraph::cluster_infomap, verbose = FALSE)This seems to indicate that the documentation is incorrect.
getComMembershiptakes a matrix with samples in rows rather than columns.