Introduction to Unsupervised Learning in R: Data Science with R Programming Guide (2026)

Introduction to Unsupervised Learning in R in Data Science with R Programming

Beginner Topic 1 of 10

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

Clustering Concepts in R

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