Dimensionality Reduction Techniques — past-year questions
Machine Learning (CSC701) · Semester 7 · Module 6 · Comps
8 past-year questions on Dimensionality Reduction Techniques have appeared in Mumbai University CSC701 papers between 2024–2026, 8 times in total. Every question is shown in full below with its marks and repeat count. Model answers require a free account.
Questions asked on Dimensionality Reduction Techniques
- 1.
Linear Discriminant Analysis for Dimension Reduction.
10M1× seenlast asked 2026 - 2.
Describe PCA algorithm along with example.
10M1× seenlast asked 2026 - 3.
Principal Component Analysis for Dimension Reduction.
10M1× seenlast asked 2025 - 4.
Explain LDA along with an example.
10M1× seenlast asked 2025 - 5.
Write short note on Linear Discriminant projection along with an example.
10M1× seenlast asked 2025 - 6.
Explain the Dimensionality reduction technique Linear Discriminant Analysis and its real-world applications.
10M1× seenlast asked 2024 - 7.
What is dimensionality reduction? Explain how it can be utilized for classification and clustering task in Machine learning.
5M1× seenlast asked 2024 - 8.
Give steps to design PCA dimensional reduction technique along with an example.
10M1× seenlast asked 2024
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