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[worker000000]

resolution Value of the resolution parameter, use a value above (below) 1.0 if you want to obtain a larger (smaller) number of communities.

you used different resultion value in tutorial, and you emphasized thta resultion may caused subdivisions in website https://satijalab.org/seurat/pbmc3k_tutorial.html

{

If you perturb some of our parameter choices above (for example, setting resolution=0.8 or changing the number of PCs), you might see the CD4 T cells subdivide into two groups. You can explore this subdivision to find markers separating the two T cell subsets. However, before reclustering (which will overwrite object@ident), we can stash our renamed identities to be easily recovered later. }

so do you have some good suggestions for this param, this param can make a world of difference.

Thanks a lot

[satijalab]

Indeed, all clustering algorithms have some parameter to govern the granularity of the clustering result. We cannot recommend a global parameter that will work for all analyses. Instead of fixing this at resolution=1 we wanted to provide our users with flexibility to identify a level of granularity that appropriately describes their dataset