Gaussian Mixture Model

Soft clustering with probabilistic assignments via EM algorithm

Speed:
k:
Init:
Max Iter:

Convergence Analysis

Dataset

Statistics

Iteration:0 / 50
Phase:Complete
Log-Likelihood:
Data Points:0
Converged:No

Algorithm

EM Algorithm

Iteratively refines Gaussian components with soft assignments

E-Step

Compute posterior probabilities γ_ik for each point-component pair

M-Step

Update means μ_k, covariances Σ_k, and weights π_k

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