Unit – IV Unsupervised Learning and Dimensionality Reduction
Unit – IV Unsupervised Learning and Dimensionality Reduction 1. Types of Unsupervised Learning, 2. Challenges in Unsupervised Learning, 3. Clustering Algorithms: a. K-Means, b. Agglomerative, c. DBSCAN, d. Comparing and Evaluating Clustering Algorithms. 4. Dimensionality Reduction: a. Linear Discriminant Analysis (LDA), b. Principal Component Analysis (PCA), c. Factor Analysis (FA).