Map<string, Set<string>> CluterAnagram (vector<string> words);

As an AI language model, I can provide you with a brief explanation of the ClusterAnagram function.

The ClusterAnagram function takes in a vector of strings and returns a map of strings to sets of strings. The input vector contains a list of words, and the function's goal is to group all anagrams of these words together into sets, where each set represents a cluster of anagrams.

The output map has string keys and set values. Each key represents a unique anagram group, and the corresponding set contains all the words that belong to that group. By the end of the function, all anagram clusters will be grouped together, and each word will be assigned to one and only one cluster.

Here is an example of how this function might work:

Input Vector: ["dog", "god", "cat", "act", "tac", "bat"]

Output Map:

{
"dgo": {"dog", "god"},
"act": {"cat", "act", "tac"},
"abt": {"bat"}
}

In this example, the function identified three anagram clusters: "dog" and "god", "cat", "act", and "tac", and "bat". The corresponding sets contain all the words that belong to each group.

Note that the function assumes that the input vector only contains lowercase letters and no punctuation. It also assumes that the words in the input vector are unique, meaning that no two words are identical.