Unit – IV Unsupervised Learning and Dimensionality Reduction

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 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).

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