Search⌘ K
AI Features
Home
Courses
Grokking the Coding Interview Patterns in JavaScript

Solution: Top K Frequent Words

Explore how to use a trie combined with bucket sort and frequency maps to efficiently find the top K most frequent words in a list. Understand the algorithm's steps, time complexity, and space usage, and learn to implement a solution that maintains lexicographical order when frequencies match.

We'll cover the following...

Statement

Given a list of strings words and an integer k, return the k most frequently occurring strings.

Note: The result should be sorted in descending order based on frequency. If multiple words have the same frequency, they should be sorted in lexicographical order.

Constraints:

  • 1≤1 \leq words.length ≤100\leq 100

  • 1≤1 \leq words[i].length ≤10\leq 10

  • 1≤1 \leqk ≤\leq number of unique words in the list

  • words[i] consists of lowercase English letters.

Solution

This solution utilizes the trie data structure and bucket sort method to find the top k elements in a list. It achieves this by combining a bucket sort technique (which groups words based on their frequencies), a trie (which stores words in an organized manner), and a frequency map (which counts the occurrences of each word). ...