About Lesson
- Understanding the working of Kmeans Algorithm
- Cluster Size Optimization vs Definition Optimization,
- Hierarchical and non-hierarchical
- K- medoid and Fuzzy K means
- Case study for clustering
- Hierarchical Clustering
- k-Means algorithm for clustering – groupings of unlabeled data points.
- Principal Component Analysis(PCA)- Data
- Independent components analysis(ICA)
- Anomaly Detection
- Recommender System-collaborative filtering algorithm