What is Gaussian Mixture Model (GMM) and how does it differ from k-means?

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Machine Learning — Medium

What is Gaussian Mixture Model (GMM) and how does it differ from k-means?

Key points

  • GMM provides soft probabilistic cluster assignments
  • GMM models cluster shape and covariance
  • k-means assumes spherical clusters with equal variance
  • GMM is more flexible in handling complex data distributions

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