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Unsupervised machine learning


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Unsupervised machine learning is machine learning that doesn’t require labeled data. Instead, it learns from data without explicit labels.

Examples include:

  • Clustering algorithms
  • Autoencoders
  • Autoregressive algorithms on unlabeled data

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Citation

If you find this work useful, please cite it as:
@article{yaltirakli,
  title   = "Unsupervised machine learning",
  author  = "Yaltirakli, Gokberk",
  journal = "gkbrk.com",
  year    = "2025",
  url     = "https://www.gkbrk.com/unsupervised-machine-learning"
}
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IEEE Citation
Gokberk Yaltirakli, "Unsupervised machine learning", February, 2025. [Online]. Available: https://www.gkbrk.com/unsupervised-machine-learning. [Accessed Feb. 04, 2025].
APA Style
Yaltirakli, G. (2025, February 04). Unsupervised machine learning. https://www.gkbrk.com/unsupervised-machine-learning
Bluebook Style
Gokberk Yaltirakli, Unsupervised machine learning, GKBRK.COM (Feb. 04, 2025), https://www.gkbrk.com/unsupervised-machine-learning

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