Tag Archives: Boothie Life

The limitations of K-means: Why You Can’t Cluster Booth Students

Pardon the stats pun, I just submitted my Big Data midterm, and I’m pretty obsessed with the class. As a little background, K-means is a way to group people, things, etc. into “clusters” by finding the attributes they share with other members of the sample. Personally, I don’t think even Professor Taddy could build a clustering algorithm that could capture the myriad amazing attributes of Booth students. But I swear this post isn’t about stats. It’s about people.

Continue reading The limitations of K-means: Why You Can’t Cluster Booth Students