Which of the following is an example of unsupervised learning?

A

Support Vector Machines
B

Principal Component Analysis (PCA)
C

Random Forest
D

Naive Bayes
E

Linear Discriminant Analysis

Explanation:

PCA is an unsupervised learning method used for dimensionality reduction and to identify patterns in data without labels.

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