Unsupervised Learning: Principal Components Analysis and Clustering Flashcards
1
Q
What is unsupervised learning?
A
unsupervised learning, we where observe only the features X1, X2, . . . , Xp. We are not interested in prediction, because we do not have an associated response variable Y .
2
Q
goal of unsupervised learning
A
The goal is to discover interesting things about the measurements: is there an informative way to visualize the data? Can we discover subgroups among the variables or among the observations?
3
Q
What are two methods of unsupervised learning?
A
4
Q
The Challenge of Unsupervised Learning
A
5
Q
Advantage of unsupervised learning
A
6
Q
Principal Components Analysis
A
7
Q
Principal Components Analysis: details
A
8
Q
PCA: example
A
