From the course: Machine Learning and AI Foundations: Clustering and Association
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Relating clusters to categories statistically
From the course: Machine Learning and AI Foundations: Clustering and Association
Relating clusters to categories statistically
- [Instructor] We're going to talk about a topic that I feel very strongly about. Let me walk you through my logic, and also some methods that would be a good idea. We're going to go into resources, and we need to have Ready For Cluster With Categorical Variables, that's our data file, in the resources folder. Okay, so let's take a look. Actually we can take a look right here in the variable view. So we have a bunch of variables that we've grown quite accustomed to, we have our sales variables, we have our ratio variables. We also have a couple of variables that we haven't done too much with yet, number of transactions, total spend, but now we've got the categorical variables. Here goes. We've got gender, state, ZIP Code, and of course state and ZIP Code, you don't really put in a model, but it helps us find out a little bit about what's going on. Mail code is actually telling us whether or not the mail is getting to them on time or being kicked back, whether or not we've been given…
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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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