Association Analysis: Basic Concepts and Algorithms

What are the techniques for 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.
Q3. Read Ch. 7 in the textbook. Association Analysis: Advanced Concepts

Textbook: Tan, Pang-Ning. Introduction to Data Mining

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?
Select at least two types of cluster evaluations, and discuss the concepts of each method.