Search⌘ K
AI Features

Solution: Similar String Groups

Explore how to identify and group similar strings using the Union-Find data structure. Understand the concept of string similarity defined by at most two character swaps, and apply this to find connected components among a list of anagram strings. This lesson teaches the implementation details, similarity checks, and the analysis of time and space complexity to efficiently solve the problem of counting similarity groups.

Statement

Two strings x and y are considered similar if they are either exactly the same or can be made identical by swapping at most two different characters in string x.

We define a similarity group as a set of strings where each string is similar to at least one other string in the group. A string doesn't need to be directly similar to every other string in the group — it just needs to be connected to them through a chain of similarities.

Given a list of strings strs, where each string is an anagram of the others, your task is to determine how many such similarity groups exist in the list.

Constraints:

  • 11 \leq strs.length 300\leq 300

  • 11 \leq strs[i].length 300\leq 300

  • strs[i] consists of lowercase letters only. ...