Introduction to Unsupervised Learning in R
What is Unsupervised Learning?
Unsupervised learning is a type of machine learning where algorithms analyze datasets without labeled outputs. The goal is to identify hidden patterns, clusters, and structures within the data.
Common Applications
- Customer segmentation
- Market basket analysis
- Anomaly detection
- Dimensionality reduction
r
data(iris)
head(iris)
Next Tutorial: Clustering Concepts in R
