From the course: Machine Learning and AI Foundations: Clustering and Association
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A self organizing map example
From the course: Machine Learning and AI Foundations: Clustering and Association
A self organizing map example
- [Instructor] I'm in a brand new stream, but it's been provided to you in resources. And I also want to remind you that this is a data file that we're going to be using just once. It's called kohonen animals.xlsx and it's in that same folder, resources, additional files, so both the stream and the data file are found in that folder. Keep in mind that depending on where that folder is located on your own machine, you may need to double-check this path and make sure that it's working properly. If you're not sure, you can always preview the file, as I'm about to do here, and if it loads, you know that the path is correct on your machine. So let's take a look at this dataset. It's actually just this fun little kind of odd dataset. It's actually a little bit larger than this, but preview and modeler only shows the top 10. This is in Kohonen's own book. Now, Teuvo Kohonen is a Finnish professor emeritus who came up with this very influential technique. So in modeler it's actually called…
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Contents
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Relating clusters to categories statistically6m 23s
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Relating clusters to categories visually2m 45s
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Running a multiple correspondence analysis6m 10s
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Interpreting a perceptual map3m 14s
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Using cluster analysis and decision trees together9m 29s
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A BIRCH/two-step example5m 12s
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A self organizing map example7m 43s
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