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Model Campuran Gaussian Teregulasi

Model Campuran Gaussian (GMM) Teregulasi menambahkan konstanta positif kecil ke diagonal setiap matriks kovarians komponen selama algoritma Ekspektasi-Maksimisasi, mencegah matriks singular atau hampir singular yang menyebabkan kegagalan numerik ketika data jarang, berdimensi tinggi, atau mengandung observasi yang hampir duplikat.

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Sumber

  1. Fraley, C. & Raftery, A. E. (2002). Model-based clustering, discriminant analysis, and density estimation. Journal of the American Statistical Association, 97(458), 611–631. DOI: 10.1198/016214502760047131
  2. Bishop, C. M. (2006). Pattern Recognition and Machine Learning (Ch. 9). Springer. ISBN: 978-0-387-31073-2

Cara menyitasi halaman ini

ScholarGate. (2026, June 3). Regularized Gaussian Mixture Model (Covariance-Regularized EM Clustering). ScholarGate. https://scholargate.app/id/machine-learning/regularized-gaussian-mixture-model

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ScholarGateRegularized Gaussian Mixture Model (Regularized Gaussian Mixture Model (Covariance-Regularized EM Clustering)). Diakses 2026-06-15 dari https://scholargate.app/id/machine-learning/regularized-gaussian-mixture-model · Set data: https://doi.org/10.5281/zenodo.20539026