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Match Points with Clusters - Intro to Machine Learning

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    In k-means, you randomly draw cluster centers and
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    say our first initial guess is, say, over here and over here.
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    These are obviously not the correct cluster centers.
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    You're not done yet.
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    But k-means now operates in two steps.
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    Step number is assign and step number two is optimize.
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    So let's talk about the assignment.
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    For classes in number one, I want you to click on exactly those of
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    the red points that you believe are closer to center one than center two.
Title:
Match Points with Clusters - Intro to Machine Learning
Description:

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Video Language:
English
Team:
Udacity
Project:
ud120 - Intro to Machine Learning
Duration:
0:31

English subtitles

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