Response to: Significance and stability of deep learning-based identification of subtypes within major psychiatric disorders. Molecular Psychiatry (2022)
- PMID: 35681080
- PMCID: PMC9708580
- DOI: 10.1038/s41380-022-01613-8
Response to: Significance and stability of deep learning-based identification of subtypes within major psychiatric disorders. Molecular Psychiatry (2022)
Conflict of interest statement
The authors declare no competing interests.
Comment on
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Identifying and validating subtypes within major psychiatric disorders based on frontal-posterior functional imbalance via deep learning.Mol Psychiatry. 2021 Jul;26(7):2991-3002. doi: 10.1038/s41380-020-00892-3. Epub 2020 Oct 1. Mol Psychiatry. 2021. PMID: 33005028 Free PMC article.
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Significance and stability of deep learning-based identification of subtypes within major psychiatric disorders.Mol Psychiatry. 2022 Apr;27(4):1858-1859. doi: 10.1038/s41380-022-01482-1. Epub 2022 Feb 28. Mol Psychiatry. 2022. PMID: 35228675 Free PMC article. No abstract available.
References
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- Jain AK. Data clustering: 50 years beyond K-means. Pattern Recognit Lett. 2010;31:651–66. doi: 10.1016/j.patrec.2009.09.011. - DOI
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- von Luxburg U, Williamson RC, Guyon I. Clustering: science or art? J Mach Learn Res. 2012;27:65–79.
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