Closed KStrange94 closed 5 months ago
The problem is the metaclustering. There are NA, NaN or Inf value in the distance matrix that could originate from empty clusters (ie, no cell, which occurs very rarely). Can you avoid metaclustering and then examine the clusters?
I think its all part of the cluster command, is there a way of checking if i have any NA, NaN or Inf values in the single cell exp and removing them before running the clustering?
Right, no parameters to bypass metaclustering.
Try to set maxK = 2
to run metaclustering for only one metaclustering value.
After that we have to hack the cluster function for identifying the problem with your dataset.
@KStrange94 What's the current situation?
closing due to inactivity; please comment back if the issue persists/is still of interest.
Having an error come up on my FlowSOM clustering:
Running on R version 4.3.2 (2023-10-31) -- "Eye Holes" Copyright (C) 2023 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu (64-bit)
Any ideas how to fix? Thanks!