Get names of clustering runs.
clusterNames(se)A character vector of names of clustering runs.
data(rings)
spe <- runBanksyPCA(rings, assay_name = "counts", lambda = c(0, 0.2), npcs = 20)
#> Computing neighbors...
#> Spatial mode is kNN_median
#> Parameters: k_geom=15
#> Done
#> --- lambda = 0 ---
#> Building sparse weight matrix
#> Computing scaling parameters for own expression
#> Computing clipping excess for own expression
#> Computing scaling params and clipping for H0
#> H0 genes requiring clipping: 0 / 50
#> Clipping corrections: own=0 H0=0 entries
#> Computing BANKSY PCA (20 PCs) via C++ irlba (work=27)
#> iter=1 mprod=54 sv[20]=1.2308e+01 t=0s
#> iter=2 mprod=68 sv[20]=1.4545e+01 t=0s
#> iter=5 mprod=110 sv[20]=1.5989e+01 t=0s
#> Converged: iter=5, mprod=110
#> --- lambda = 0.2 ---
#> Building sparse weight matrix
#> Computing scaling parameters for own expression
#> Computing clipping excess for own expression
#> Computing scaling params and clipping for H0
#> H0 genes requiring clipping: 0 / 50
#> Clipping corrections: own=0 H0=0 entries
#> Computing BANKSY PCA (20 PCs) via C++ irlba (work=27)
#> iter=1 mprod=54 sv[20]=8.5000e+00 t=0s
#> iter=2 mprod=68 sv[20]=1.1893e+01 t=0s
#> iter=5 mprod=110 sv[20]=1.4406e+01 t=0s
#> iter=8 mprod=152 sv[20]=1.4489e+01 t=0s
#> Converged: iter=8, mprod=152
#> Done.
spe <- clusterBanksy(spe, lambda = c(0, 0.2), resolution = 1)
clusterNames(spe)
#> [1] "clust_M0_lam0_k50_res1" "clust_M0_lam0.2_k50_res1"