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Samonadzirano K-means grupiranje

Samonadzirano K-means grupiranje je tehnika grupisanja koja kombinuje K-means dodjelu sa samonadziranim učenjem reprezentacija. Model naizmenično grupiše neoznačene podatkovne tačke u K grupa i koristi te dodjele grupa kao pseudo-oznake za prečišćavanje osnovne reprezentacije karakteristika, dajući sve koherentnije grupe bez ikakve ljudski anotirane istinske podele.

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Izvori

  1. Caron, M., Bojanowski, P., Joulin, A., & Douze, M. (2018). Deep Clustering for Unsupervised Learning of Visual Features. In Proceedings of the European Conference on Computer Vision (ECCV), 132–149. link
  2. Self-supervised learning. Wikipedia. link

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Self-supervised K-means Clustering. ScholarGate. https://scholargate.app/sr/machine-learning/self-supervised-k-means

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ScholarGateSelf-supervised K-means (Self-supervised K-means Clustering). Preuzeto 2026-06-15 sa https://scholargate.app/sr/machine-learning/self-supervised-k-means · Skup podataka: https://doi.org/10.5281/zenodo.20539026