Intro to data mining
Question 1:
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.
Question 2:
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?
What is K-means from a basic standpoint? What are the various types of clusters and why is the distinction important?
