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    Unsupervised Learning Notes for GATE DA

    GATE DA Unsupervised Learning: 6 chapters, 5 previous year questions (19% of Machine Learning), 0 practice questions and one solved question from each chapter

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    Unsupervised Learning Notes for GATE DA

    GATE DA Unsupervised Learning: 6 chapters, 5 previous year questions (19% of Machine Learning), 0 practice questions and one solved question from each chapter.

    About Unsupervised Learning Notes

    Full study notes for Unsupervised Learning in GATE DA, organised across 6 chapters. Each chapter page explains concepts from the basics with worked examples and the formulas you need.

    Unsupervised Learning Weightage in GATE DA

    Unsupervised Learning accounts for 5 of 26 Machine Learning previous year questions in our bank (19%), about 1.7 per paper across 3 papers.

    Unsupervised Learning Chapter Matrix

    ChapterTopicsPYQsShare of unit PYQsPractice questions
    Chapter 1 — Unsupervised Learning00%0
    k-Means Clustering and Cluster Geometryk-Means Cluster Geometry and Voronoi Regions, k-Means Cluster Geometry and Voronoi Regions120%0
    Chapter 2 — Unsupervised Learning00%0
    Hierarchical Clustering and Linkage MethodsHierarchical Clustering Distance Metrics and First Merge, Hierarchical Clustering Distance Metrics and First Merge, Single and Complete Linkage with Dendrograms, Single and Complete Linkage with Dendrograms360%0
    Chapter 3 — Unsupervised Learning00%0
    Unsupervised Learning Algorithms and Task MatchingMachine Learning Task and Algorithm Matching, Machine Learning Task and Algorithm Matching120%0

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