[PRE REVIEW]: fuzzyclara: Efficient Medoid-based Clustering Algorithms for Large and Fuzzy Data

[editorialbot]

Submitting author: @bauer-alex (Alexander Bauer)
Repository: https://github.com/bauer-alex/fuzzyclara
Branch with paper.md (empty if default branch):
Version: v1.0.1
Editor: @kanishkan91
Reviewers: Pending
Managing EiC: Chris Vernon

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Thanks for submitting your paper to JOSS @bauer-alex. Currently, there isn't a JOSS editor assigned to your paper.

@bauer-alex if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). You can search the list of people that have already agreed to review and may be suitable for this submission.

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Software report:

github.com/AlDanial/cloc v 1.98  T=0.02 s (1453.6 files/s, 230190.5 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
R                               22            691           1125           2289
Rmd                              2            108            144            312
Markdown                         3             41              6            210
YAML                             5             32              9            173
TeX                              1              9              0             77
-------------------------------------------------------------------------------
SUM:                            33            881           1284           3061
-------------------------------------------------------------------------------

Commit count by author:

    56	ri87nix
    54	bauer-alex
    28	Alex
    27	Maximilian Weigert
    16	MaxWeigert
    11	Jana Gauß
     4	Theresa Kriecherbauer

[editorialbot]

Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

✅ OK DOIs

- 10.1111/j.1654-1103.2010.01211.x is OK

🟡 SKIP DOIs

- No DOI given, and none found for title: Clustering large data sets
- No DOI given, and none found for title: cluster: Cluster Analysis Basics and Extensions
- No DOI given, and none found for title: qtcat: Quantitative Trait Cluster Association Test

❌ MISSING DOIs

- 10.2307/1269576 may be a valid DOI for title: Finding groups in data: an introduction to cluster...
- 10.1109/fuzzy.1999.790086 may be a valid DOI for title: A fuzzy relative of the k-medoids algorithm with a...
- 10.2307/2346743 may be a valid DOI for title: Interactive data analysis: a practical primer
- 10.1109/tkde.2002.1033770 may be a valid DOI for title: CLARANS: A method for clustering objects for spati...
- 10.32614/cran.package.fastkmedoids may be a valid DOI for title: fastkmedoids: Faster K-Medoids Clustering Algorith...
- 10.32614/rj-2019-017 may be a valid DOI for title: fclust: An R Package for Fuzzy Clustering

❌ INVALID DOIs

- None

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 1409

✅ The paper includes a Statement of need section

[editorialbot]

License info:

🟡 License found: Other (Check here for OSI approval)

[editorialbot]

👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

[editorialbot]

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[bauer-alex]

Hi!
Two potential reviewers (based on their experience with R and the topic of cluster analysis) would be Matt Piekenbrock and amarkos.

[crvernon]

@editorialbot invite @kanishkan91 as editor

👋 @kanishkan91 are you able to take this one on as editor? Thanks!

[editorialbot]

Invitation to edit this submission sent!

[crvernon]

@bauer-alex - while we wait on getting you an editor assigned, please try to get the word count of your paper down to around 1000 words. Thanks!

[kanishkan91]

@crvernon Just wrapped up an assignment, so I can edit this one. Feel free to assign me

[bauer-alex]

Thanks upfront to both of you for your efforts. Highly appreciated!

I now shortened the manuscript by over 250 words and integrated some reference doi's that editorialbot was hinting to. I hope you guys can work with the current manuscript, even if it's 100-150 words over the 1000 word limit. If you would be ok with this approach, I would first await the revision comments before further shortening it. But I can of course already now shorten it to 1000-1050 words if you prefer that.

[bauer-alex]

@editorialbot generate pdf

[editorialbot]

👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

[editorialbot]

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[crvernon]

@editorialbot assign @kanishkan91 as editor

[editorialbot]

Assigned! @kanishkan91 is now the editor