Top K Frequent Elements Using Heap
📖 Scenario: Imagine you have a list of product IDs sold in a store. You want to find the top k products that were sold most frequently to decide which products to promote.
🎯 Goal: Build a C++ program that finds the top k most frequent elements from a list of integers using a heap (priority queue).
📋 What You'll Learn
Create a vector called
nums with the exact values: {1,1,1,2,2,3}Create an integer variable called
k and set it to 2Use a
unordered_map<int, int> called freq to count frequencies of elements in numsUse a
priority_queue (min-heap) to keep track of top k frequent elementsPrint the top
k frequent elements in any order💡 Why This Matters
🌍 Real World
Finding the most popular products, words, or items in large datasets is common in marketing, search engines, and recommendation systems.
💼 Career
Understanding heaps and frequency counting is important for roles in software development, data analysis, and algorithm design.
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