Class notes
Data Mining - Cluster Analysis
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12-07-2025
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This document covers the principles of cluster analysis in data mining, including its definition, purpose, and key algorithms such as k-means, hierarchical clustering, and DBSCAN. It explains how data points are grouped based on similarity and outlines applications in market segmentation, image analysis, and anomaly detection. The content is suitable for students and professionals learning data mining or working on unsupervised data problems.
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Written for
- Institution
- DTC
- Course
- Data Mining
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- Uploaded on
- July 12, 2025
- Number of pages
- 10
- Written in
- 2024/2025
- Type
- Class notes
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- *
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data mining
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cluster analysis
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