From the course: Machine Learning and AI Foundations: Clustering and Association
Unlock the full course today
Join today to access over 22,600 courses taught by industry experts or purchase this course individually.
A BIRCH/two-step example
From the course: Machine Learning and AI Foundations: Clustering and Association
A BIRCH/two-step example
- We're going to use a different algorithm now. It's a really interesting one. You're going to want to seek this out no matter what your tool of choice is. In Modeler, it's called two step, but it's based upon a white paper that used the acronym birch, b i r c h. So when you seek this out in other platforms, you may find that it's called birch. We're going to look for it in analyze, classify, two step. And the first thing that you may notice about this screen, is that it allows categorical variables. Now, a lot of folks get all excited and they want to throw all of their variables in. I urge you not to. It's not the categorical variables are inherently bad, but folks don't think through the implications. So I noticed that folks get somewhat less disciplined when they have access to an algorithm like this because they're not thoughtful about those variables and I do not encourage that behavior, you're going to run into trouble. So we're going to grab all of our ratio variables, and I…
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.
Contents
-
-
-
-
-
-
-
(Locked)
Relating clusters to categories statistically6m 23s
-
(Locked)
Relating clusters to categories visually2m 45s
-
(Locked)
Running a multiple correspondence analysis6m 10s
-
(Locked)
Interpreting a perceptual map3m 14s
-
(Locked)
Using cluster analysis and decision trees together9m 29s
-
(Locked)
A BIRCH/two-step example5m 12s
-
(Locked)
A self organizing map example7m 43s
-
(Locked)
-
-
-