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EPISODE · Feb 20, 2015 · 14 MIN
[MINI] k-means clustering
from Data Skeptic
The k-means clustering algorithm is an algorithm that computes a deterministic label for a given "k" number of clusters from an n-dimensional datset. This mini-episode explores how Yoshi, our lilac crowned amazon's biological processes might be a useful way of measuring where she sits when there are no humans around. Listen to find out how!
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[MINI] k-means clustering
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Frequently Asked Questions
How long is this episode of Data Skeptic?
This episode is 14 minutes long.
When was this Data Skeptic episode published?
This episode was published on February 20, 2015.
What is this episode about?
The k-means clustering algorithm is an algorithm that computes a deterministic label for a given "k" number of clusters from an n-dimensional datset. This mini-episode explores how Yoshi, our lilac crowned amazon's biological processes might be a...
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