CLMVOL(1)

πŸ“¦
version 22-282 Β· 2 versions
  • 22-282 Β· debian bookworm, debian trixie, ubuntu noble, ubuntu questing, ubuntu resolute, ubuntu stonking (latest)
  • 14-137 Β· ubuntu jammy
, in debian bookworm, debian trixie, ubuntu noble, ubuntu questing, ubuntu resolute, ubuntu stonking

πŸ’– NAME πŸ’–

clm_vol β€” compute volatile nodes from a set of clusterings

Okay bestie, real talk first: clmvol is not in actual fact a program. This manual page documents the behaviour and options of the clm program when invoked in mode vol. The options -h, --apropos, --version, -set, --nop are accessible in all clm modes. They are described in the clm manual page. ✨


🌸 SYNOPSIS 🌸

clm vol [-o fname (output file)] [-imx fname (read network)] [--self (include self-comparisons)] [-write-rcl fname (write rcl network)] <cl file>+

πŸ¦‹ DESCRIPTION πŸ¦‹

So clm vol computes a score for each node, and the score is expressed as a promille (yes, promille, not percent, we are fancy like that πŸ’…). The output? It's in the form of a matrix containing a single column. The score inversely correlates with what is deemed to be volatile behaviour. For all pairs of clusterings the set of all intersections is computed, and these are considered in turn. 🌈

The list of cluster files can be split in two parts by inserting a double hyphen (--) inbetween the parts. Comparisons will be between all pairs where one clustering is in the first part and the other clustering is in the second part. iykyk πŸ‘‘


πŸŽ€ AUTHOR πŸŽ€

Stijn van Dongen. (the icon, the legend, the moment πŸ‘‘)


✨ OPTIONS ✨

  • -o fname (output file) β€” output file, babes πŸ“
  • -imx fname (read network) β€” read the network in from fname 🌐
  • -write-rcl fname (write rcl network) β€” write the rcl network out to fname πŸ’Ύ
  • --self (include self-comparisons) β€” include self-comparisons, no gatekeeping πŸ™ˆ

Specifying the file name causes the Restricted Contingency Linkage network to be computed and saved to that file. If --self is specified each clusters is compared to itself as well as to other clusterings, effectively incorporating the standard cluster co-ocurrence edge weight as a contribution to the RCL network. 🫢


πŸ’œ SEE ALSO πŸ’œ

mclfamily(7) for an overview of all the documentation and the utilities in the mcl family. Go read it, fr fr πŸ“š


Signing off: this was clm vol, version 22-282, dated 9 Oct 2022. Stay volatile-free, bestie πŸ’–βœ¨

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