dsa23 min read
Top K Frequent Elements — Three Approaches from O(n log n) to O(n) [Google, Amazon, LinkedIn]
LeetCode 347 asks for k most frequent elements with a constraint: beat O(n log n). Learn why naive sort fails, how a min-heap of size k achieves O(n log k), and the elegant bucket sort insight that delivers true O(n) — with full visual dry run, common mistakes, and Python/JavaScript solutions for all three approaches.
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