From the course: Machine Learning and AI Foundations: Clustering and Association
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Finding optimum value for k: k = 5
From the course: Machine Learning and AI Foundations: Clustering and Association
Finding optimum value for k: k = 5
- [Instructor] And lets try K equals five but remember this is different than when we tried K equals five earlier. We've dropped two variables and we have fewer rows now. Notice by the way the cluster three is smaller than the others. There's nothing wrong about that. But that might be something that we would become curious about, you know just simply is maybe it too small to be interesting? One of the things that I would want to know but we won't check now, but I would want to check on real project is how much the total spend for cluster three is. That is easily determined but if cluster three is small in number but high in total spend, it might prove to be very important. If they're small in number and also small in total spend, then I might conclude that a cluster that's only 5% is too small. To be honest, 5% if it's an interesting group is probably large enough that I might want to keep a cluster of that size. It really depends on how interesting the cluster is. So let's take a…
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Contents
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How does k-means work?2m 3s
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Which variables should be used with k-means?2m 46s
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Interpreting a box plot6m 49s
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Running a k-means cluster analysis3m 28s
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Interpreting cluster analysis output5m 42s
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What does silhouette mean?2m 20s
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Which cases should be used with k-means?4m 44s
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Finding optimum value for k: k = 35m 7s
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Finding optimum value for k: k = 45m 51s
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Finding optimum value for k: k = 55m 3s
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What the best solution?3m 56s
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