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[MINI] k-means clustering episode artwork

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!

Episode metadata supplied by the publisher feed · Published Feb 20, 2015

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[MINI] k-means clustering

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How long is this episode of Data Skeptic?

This episode is 14 minutes long.

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This episode was published on February 20, 2015.

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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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