Gaussian Mixture Model (GMM) | Concepts and Applications

5. (2)1 point possible (graded, results hidden)Consider a 1-dim Gaussian mixture model with two components. We set the mixture with μ1 = 1, μ2 = 1, σ1 = 0.5, σ2 = 0.5. The mixing proportions are set differently for the two components: p1 = 0.01 and p2 = 0.99. Is it the case that μ1 = μ2 and σ1 = σ2 after running the EM algorithm regardless of the data?YesNoFood for thought: Will p1 = 0.01 and p2 = 0.99 also hold at convergence? (There is no answer box for this question.)

Gaussian Mixture Model: Examples, Advantages and Disadvantages - Shiksha Online

混合ガウスモデル (Gaussian Mixture Model, GMM)～クラスタリングするだけでなく、データセットの確率密度分布を得るにも重宝します～

Gaussian Mixture Models in Clustering: Explained Detailedly - SlideServe

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