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GATE DA Exam Prep
·
Module 5
Unsupervised Learning & Dimensionality Reduction
1
Partitioning Clustering: K-Means & K-Medoids
Explain partitioning clustering algorithms (k-means/k-medoids).
2
Hierarchical Clustering and Dendrograms
Explain hierarchical clustering and how to interpret dendrograms.
3
Understanding PCA for Dimensionality Reduction
Describe Principal Component Analysis (PCA) for dimensionality reduction.
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Supervised Learning Fundamentals
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AI Concepts: Search and Reasoning