UNIT 5 (A)
Dimensionality Reduction
1. The
Curse of Dimensionality
2. Main
Approaches for Dimensionality Reduction
3. Projection
4. PCA
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Long
Answer Questions
1. What
is the curse of dimensionality?
2. What
are the main motivations for reducing a dataset’s dimensionality? What are the
main drawbacks?
3. Explain
Projection with example.
4. Explain
PCA with example.
Short
Answer Questions
1. Define
Dimensionality Reduction.
2. List
main approaches to dimensionality reduction.
3. List
the most popular dimensionality reduction techniques.
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