Cluster Analysis in Data Mining

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Cluster Analysis in Data Mining

Coursera · Beginner ·🚀 Entrepreneurship & Startups ·3mo ago

Skills: Unsupervised Learning90%ML Maths Basics70%

Key Takeaways

Covers cluster analysis methodologies and algorithms in data mining

Original Description

Discover the basic concepts of cluster analysis, and then study a set of typical clustering methodologies, algorithms, and applications. This includes partitioning methods such as k-means, hierarchical methods such as BIRCH, and density-based methods such as DBSCAN/OPTICS. Moreover, learn methods for clustering validation and evaluation of clustering quality. Finally, see examples of cluster analysis in applications.

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More on: Unsupervised Learning

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