StatQuest: K-means clustering

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0:00 Awesome song and introduction
0:33 The K-means clustering algorithm
4:26 How to pick a value for K (How to use an elbow plot)
6:06 K-means vs Hierarchical Clustering
6:28 K-means clustering and 2-Dimensional data
7:08 K-means clustering and heatmaps

Corrections:
5:58 I should have put "Reduction in Variation" instead of "Reduction is Variation"
7:25 Point (7,-8) should be in the lower right-hand quadrant.
8:25 The "nclust =25" in the arguments is actually "nstart=25"

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Corrections:
5:58 I should have put "Reduction in Variation" instead of "Reduction is Variation"
7:25 Point (7, -8) should be in the lower right-hand quadrant.
8:25 The "nclust =25" in the arguments is actually "nstart=25"

statquest
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The level of clarity I have achieved watching your videos is unparalleled comparing from other resources. Thank you so much for your awesome videos.

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DescomplicandoMusica
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While trying to comprehend K-means Clustering by watching other videos, I struggled to grasp the concept of selecting centroids and assigning them to specific groups. However, this particular video was extremely helpful in clarifying everything for me. I am grateful for the assistance!

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He explained everything so simply and clearly, a very solid tutorial video to start with!

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Love the intro tune btw

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