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What is K-means? How can you select K for K-means?
in Data Science by Bronze Status (7,918 points)
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They are unsupervised learning algorithms that take unsupervised data as input and partitions the data into k clusters based on feature similarity.

K-means can be selected by various methods including:

  • elbow method
  • information criterion approach
  • jump method
  • gap statistic
  • silhouette method
  • domain knowledge
  • weighted sum of square (WSS)
by Diamond (39,212 points)
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