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    Learning PathDSAHeap and Priority Queue PatternsTop K Elements - Selection and Frequency
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    Top K Elements - Selection and Frequency

    Find top K elements using heap. Solve kth largest, top K frequent, and k closest points problems.

    Topics

    top k elementskth largesttop k frequentk closest pointsheap selectionleetcode 215leetcode 347

    What you'll learn

    • •Core concepts and intuition behind Top K Elements - Selection and Frequency
    • •Step-by-step implementation with code examples
    • •Time and space complexity analysis
    • •Common interview problems and variations

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    PreviousK-way Merge Using Heap
    NextScheduling and Minimum Cost Problems

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