Section: CLUSTERING TECHNIQUES | Machine Learning (CO402) | Dr.T.Bhaskar Learning Portal

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Section outline

Clustering Fundamentals- Basics, K-means: Finding optimal number of clusters, DBSCAN, Spectral Clustering. Evaluation methods based on Ground Truth- Homogeneity, Completeness, Adjusted Rand Index. Hierarchical Clustering, Expectation maximization clustering, Agglomerative Clustering- Dendrograms, Agglomerative clustering in Scikit- learn, Connectivity Constraints
- Select activity ML UNIT-VI Notes
  
  ML UNIT-VI Notes URL
  
  Students must
  
  Mark as done
  
  This Link has ppt of Unit-VI:Clustering
  
  ML Videos Playlist: https://tinyurl.com/ML-DrBhaskarT