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What is the difference between K-means and the Expectation-Maximization (EM) algorithm?

Data Scientist

Google

Pendo

EPAM Systems

OpenDoor

Juniper Networks

Ironclad

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  • What are the divergent qualities of K-means and Expectation-Maximization (EM) algorithm?
  • What is the difference between K-means and the Expectation-Maximization (EM) algorithm?
  • How do the K-means algorithm and the Expectation-Maximization (EM) algorithm contrast with each other?
  • What are the dissimilarities between the K-means algorithm and the Expectation-Maximization (EM) algorithm?
  • In what ways do the K-means algorithm and the Expectation-Maximization (EM) algorithm differ?
  • What are the distinguishing characteristics of K-means and Expectation-Maximization (EM) algorithm?
  • What sets the K-means algorithm apart from the Expectation-Maximization (EM) algorithm?
  • Can you please elaborate on how K-means and the Expectation-Maximization (EM) algorithm differ?
  • Could you explain how the K-means and Expectation-Maximization (EM) algorithm differ in their approaches?
  • What are the distinguishing features of the K-means and the Expectation-Maximization (EM) algorithm?
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Interview question asked to Data Scientists interviewing at Optimizely, Skyscanner, Pendo and others: What is the difference between K-means and the Expectation-Maximization (EM) algorithm?.