15.071 | Spring 2017 | Graduate

The Analytics Edge

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?

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).

Course Info

As Taught In
Spring 2017
Level
Learning Resource Types
Lecture Videos
Lecture Notes
Problem Sets with Solutions