Group Anagrams


Problem Statement

Given an array of strings strs, group the anagrams together. You can return the answer in any order.

An Anagram is a word or phrase formed by rearranging the letters of a different word or phrase, typically using all the original letters exactly once

For example,

Input: strs = ["eat","tea","tan","ate","nat","bat"]

An acceptable output could be like:

[
["bat"],
["nat","tan"],
["ate","eat","tea"]
]

Note: All anagrams would have the same frequency count. Thus, their sorted letters would also be the same

Hashing + Sorting

We’ll use Hashmap with keys as the sorted letters of word. All anagrams present in input array that match it will be grouped together as value of that key

If input contains ’\(n\)’ strings of average length ’\(m\)’ and let ’\(k\)’ be the number of groups, which is \(n\) at worst

Time taken:

Total time \( = O(n) + O(n \cdot m \cdot logm) + O(1) + O(n) = O(n \cdot m \cdot logm) \)

MetricComplexity
Time\( O(n \cdot m \cdot logm) \)
Space\( O(n) \) … Frequency map
vector<vector<string>> groupAnagrams(vector<string> &strs)
{
// { sorted_anagram : entries_which_match_that }
unordered_map<string, vector<string>> ump;
for (string &word : strs)
{
// Sort characters of current word to get sortedAnagram
string sortedAnagram = word;
sort(sortedAnagram.begin(), sortedAnagram.end());
// Add word to sortedAnagram key's entries
ump[sortedAnagram].push_back(word);
}
// Construct answer as array of all values of map
vector<vector<string>> ans;
for (auto &[anagram, words] : ump)
ans.push_back(words);
return ans;
}

Optimization: Instead of sorting letters to form key, use hashing function

Regardless of the order in which characters are processed within the loop, the final hash value H will be the same for all anagrams. This is because the order of multiplication doesn’t affect the final result when dealing with modulo operations.

Hash functions are provided by deafult in Java, but in C++, we need to provide our own hash function where the data-type of key is not a primitive data-type

The step of sorting letters of word in first method has been replaced with calculating the hash value of the word. In our getHash() function below, we are iterating over the letters of word i.e. \( O(m) \) time to calculate hash of a word, and thereby \( O(n \cdot m) \) time to calculate hash of all words

MetricComplexity
Time\( O(n \cdot m ) \)
Space\( O(n) \) … Hashmap
const int BASE = 997;
const long long MOD = 101103107109113LL;
// Rolling-hash function with predefined base and modulo
long long getHash(string &s)
{
long long H = 1;
for (char c : s)
{
H *= (BASE + c);
if (H >= MOD)
H %= MOD;
}
return H;
}
vector<vector<string>> groupAnagrams(vector<string> &strs)
{
unordered_map<long long, vector<string>> ump;
for (string &word : strs)
{
// Calculate hash value of word
long long hash = getHash(word);
// Use that hash value as key to index anagrams of that word
ump[hash].push_back(word);
}
vector<vector<string>> ans;
for (auto &[hash, words] : ump)
ans.push_back(words);
return ans;
}