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Unsupervised Learning – Finding Structure in Unlabeled Data

Unsupervised Learning – Finding Structure in Unlabeled Data

This page introduces unsupervised learning methods that discover patterns in data without labelled answers, such as clustering and dimensionality reduction. It shows how these techniques reveal hidden structure in datasets and support exploratory analysis and feature discovery.

Keywords:
clustering, anomaly detection, Prep4Uni.online, pattern discovery, AI, data science, data exploration, dimensionality reduction, machine learning, unsupervised learning
Disciplines:
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More about this material

Material Type:
Reference Material
Date Added to MERLOT:
December 14, 2025
Date Modified in MERLOT:
December 14, 2025
Author:
Unknown (Know the author?)
Submitter:
Jacob Gan
Primary Audience:
High School, College General Ed, College Lower Division, College Upper Division, Graduate School, Professional
Technical Format:
Website
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
Yes
Creative Commons:
Creative Commons License
This work is licensed under a CC0 1.0 Universal

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