UA Little Rock Categorical Attributes in Computer Science Questions

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UA Little Rock Categorical Attributes in Computer Science Questions

Computer Science

UA Little Rock Categorical Attributes in Computer Science Questions

Question Description

I’m working on a computer science multi-part question and need a reference to help me learn.

What are the techniques in handling categorical attributes?
How do continuous attributes differ from categorical attributes?
What is a concept hierarchy?
Note the major patterns of data and how they work.
What is K-means from a basic standpoint?
What are the various types of clusters and why is the distinction important?
What are the strengths and weaknesses of K-means?
What is a cluster evaluation?

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