From the course: Machine Learning and AI Foundations: Clustering and Association
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Finding optimum value for k: k = 3
From the course: Machine Learning and AI Foundations: Clustering and Association
Finding optimum value for k: k = 3
- [Instructor] I'm going to continue in the same Modeler stream. So, we've learned some things about our data file. We've learned that two of the variables don't seem to be showing very much of a difference between the clusters and then we've also modified the rows that we're making available to the algorithm. Specifically we want number of transactions greater than or equal to five. I'm going to go ahead and change the model settings to K equals three. Not that there was anything wrong with five, but I'm going to experiment with three. I'm going to remove streaming and software because those two variables were not showing a good differentiation between the clusters. There's no rules here. It's not that you'd always take these actions, but what we're doing is we're exploring the data, we're looking at what we see, we're finding how helpful it is to achieving our goal and making adjustments. So, I'm going to go ahead and run this. I'm going to take a look inside now and again, K…
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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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