6.3 Predictive Diagnosis: Discovering Patterns for Disease Detection

6.3 Predictive Diagnosis: Discovering Patterns for Disease Detection

Quick Question

K-means clustering differs from Hierarchical clustering in a couple important ways. Which of the following statements is true?

 In k-means clustering, you have to pick the number of clusters you want before you run the algorithm.  check
 In k-means clustering, you can pick the number of clusters you want after the algorithm is done, just like in Hierarchical clustering.  close
Check Show Solution

Explanation In k-means clustering, you have to pick the number of clusters before you run the algorithm, but the computational effort needed is much less than that for hierarchical clustering (we'll see this in more detail during the recitation).

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