Leetcode 49 - Group Anagrams


https://segmentfault.com/a/1190000003740929
Given an array of strings, group anagrams together.
For example, given: ["eat", "tea", "tan", "ate", "nat", "bat"],
Return:
[
  ["ate", "eat","tea"],
  ["nat","tan"],
  ["bat"]
]
Note:
  1. For the return value, each inner list's elements must follow the lexicographic order.
  2. All inputs will be in lower-case.
We can sort each string and store it in a hashmap to identify when a string has an anagram. The algorithm runs inO(n k log k). 
http://www.programcreek.com/2014/04/leetcode-anagrams-java/
public List<String> anagrams(String[] strs) {
    ArrayList<String> result = new ArrayList<String>();
    if(strs == null || strs.length == 0)
        return result;
 
    HashMap<String, ArrayList<Integer>> map = new HashMap<String, ArrayList<Integer>>();
    for(int i=0; i<strs.length; i++){
        char[] arr = strs[i].toCharArray();
        Arrays.sort(arr);
        String t = String.valueOf(arr);
        if(map.get(t) == null){
            ArrayList<Integer> l = new ArrayList<Integer>();
            l.add(i);
            map.put(t, l);
        }else{
            map.get(t).add(i);
        }
    }
 
    for(ArrayList<Integer> l: map.values()){
        if(l.size() > 1){
            for(Integer i: l){
                result.add(strs[i]);
            }
        }
    }
 
    return result;
}
https://leetcode.com/discuss/58561/share-my-short-java-solution
public List<List<String>> groupAnagrams(String[] strs) { if (strs == null || strs.length == 0) return new ArrayList<List<String>>(); Map<String, List<String>> map = new HashMap<String, List<String>>(); Arrays.sort(strs); for (String s : strs) { char[] ca = s.toCharArray(); Arrays.sort(ca); String keyStr = String.valueOf(ca); if (!map.containsKey(keyStr)) map.put(keyStr, new ArrayList<String>()); map.get(keyStr).add(s); } return new ArrayList<List<String>>(map.values());//\\ }

Code from http://www.darrensunny.me/leetcode-anagrams/
public ArrayList<String> anagrams(String[] strs) {
    ArrayList<String> res = new ArrayList<String>();
    if(strs == null || strs.length == 0)
        return res;
    HashMap<String, ArrayList<String>> map = new HashMap<String, ArrayList<String>>();
    for(int i=0;i<strs.length;i++)
    {
        char[] charArr = strs[i].toCharArray();
        Arrays.sort(charArr);
        String str = new String(charArr);
        if(map.containsKey(str))
        {
            map.get(str).add(strs[i]);
        }
        else
        {
            ArrayList<String> list = new ArrayList<String>();
            list.add(strs[i]);
            map.put(str,list);
        }
    }
    Iterator iter = map.values().iterator();
    while(iter.hasNext())
    {
        ArrayList<String> item = (ArrayList<String>)iter.next();
        if(item.size()>1)
            res.addAll(item);
    }
    return res;
}
https://segmentfault.com/a/1190000003740929
    public List<List<String>> groupAnagrams(String[] strs) {
        Map<String, List<String>> map = new HashMap<String, List<String>>();
        for(String str : strs){
            // 将单词按字母排序
            char[] carr = str.toCharArray();
            Arrays.sort(carr);
            String key = new String(carr);
            List<String> list = map.get(key);
            if(list == null){
                list = new ArrayList<String>();
            }
            list.add(str);
            map.put(key, list);
        }
        List<List<String>> res = new ArrayList<List<String>>();
        // 将列表按单词排序
        for(String key : map.keySet()){
            List<String> curr = map.get(key);
            Collections.sort(curr);
            res.add(curr);
        }
        return res;
    }
http://www.tangjikai.com/algorithms/leetcode-49-anagrams
  1. def groupAnagrams(self, strs):
  2. ans = []
  3. dic = collections.defaultdict(list)
  4. for s in strs:
  5. dic[str(sorted(s))].append(s)
  6. for value in dic.values():
  7. ans.append(sorted(value))
  8. return ans
https://discuss.leetcode.com/topic/99/group-numbers-via-digits-frequency/
A list of numbers are given. We need to find the total number of groups in which the digits of each number have same frequency.
For example if numbers are:
1
10
303
330
There are 3 groups:
G1={1}has one 1.
G2={10} has one 1 and one 0.
G3={330, 303} has one 0 and two 3s
A variation of Group Anagrams?
Just sort the digits of each number and de-dupe them

class AnagramComparator implements Comparator<String> {
public String sortChars(String s) {
        char[] content= s.toCharArray();
        Arrays.sort(content);
        return new String(content);
}

public int compare(String sl, String s2) {
        return sortChars(sl).compareTo(sortChars(s2));
}
}
Arrays.sort(array, new AnagramComparator());
This algorithm will take O(n log(n)) time.

void sort(String[] array) {
        HashMaplist<String, String> maplist = new HashMaplist<String, String>();

        /* Group words by anagram */
        for (String s : array) {
                String key= sortChars(s);
                maplist.put(key, s);
        }
        // Convert hash table to array*
        int index = 0;
        for (String key: maplist.keySet()) {
                Arraylist<String> list= maplist.get(key);
                for (String t : list) {
                        array[index] = t;
                        index++;
                }
        }
}
/*HashMapList<String, Integer> is a HashMap that maps from Strings to
 * Arraylist<Integer>. See appendix for implementation. */
Read full article from My Own Notes: Leetcode: Anagrams

Labels

LeetCode (1432) GeeksforGeeks (1122) LeetCode - Review (1067) Review (882) Algorithm (668) to-do (609) Classic Algorithm (270) Google Interview (237) Classic Interview (222) Dynamic Programming (220) DP (186) Bit Algorithms (145) POJ (141) Math (137) Tree (132) LeetCode - Phone (129) EPI (122) Cracking Coding Interview (119) DFS (115) Difficult Algorithm (115) Lintcode (115) Different Solutions (110) Smart Algorithm (104) Binary Search (96) BFS (91) HackerRank (90) Binary Tree (86) Hard (79) Two Pointers (78) Stack (76) Company-Facebook (75) BST (72) Graph Algorithm (72) Time Complexity (69) Greedy Algorithm (68) Interval (63) Company - Google (62) Geometry Algorithm (61) Interview Corner (61) LeetCode - Extended (61) Union-Find (60) Trie (58) Advanced Data Structure (56) List (56) Priority Queue (53) Codility (52) ComProGuide (50) LeetCode Hard (50) Matrix (50) Bisection (48) Segment Tree (48) Sliding Window (48) USACO (46) Space Optimization (45) Company-Airbnb (41) Greedy (41) Mathematical Algorithm (41) Tree - Post-Order (41) ACM-ICPC (40) Algorithm Interview (40) Data Structure Design (40) Graph (40) Backtracking (39) Data Structure (39) Jobdu (39) Random (39) Codeforces (38) Knapsack (38) LeetCode - DP (38) Recursive Algorithm (38) String Algorithm (38) TopCoder (38) Sort (37) Introduction to Algorithms (36) Pre-Sort (36) Beauty of Programming (35) Must Known (34) Binary Search Tree (33) Follow Up (33) prismoskills (33) Palindrome (32) Permutation (31) Array (30) Google Code Jam (30) HDU (30) Array O(N) (29) Logic Thinking (29) Monotonic Stack (29) Puzzles (29) Code - Detail (27) Company-Zenefits (27) Microsoft 100 - July (27) Queue (27) Binary Indexed Trees (26) TreeMap (26) to-do-must (26) 1point3acres (25) GeeksQuiz (25) Merge Sort (25) Reverse Thinking (25) hihocoder (25) Company - LinkedIn (24) Hash (24) High Frequency (24) Summary (24) Divide and Conquer (23) Proof (23) Game Theory (22) Topological Sort (22) Lintcode - Review (21) Tree - Modification (21) Algorithm Game (20) CareerCup (20) Company - Twitter (20) DFS + Review (20) DP - Relation (20) Brain Teaser (19) DP - Tree (19) Left and Right Array (19) O(N) (19) Sweep Line (19) UVA (19) DP - Bit Masking (18) LeetCode - Thinking (18) KMP (17) LeetCode - TODO (17) Probabilities (17) Simulation (17) String Search (17) Codercareer (16) Company-Uber (16) Iterator (16) Number (16) O(1) Space (16) Shortest Path (16) itint5 (16) DFS+Cache (15) Dijkstra (15) Euclidean GCD (15) Heap (15) LeetCode - Hard (15) Majority (15) Number Theory (15) Rolling Hash (15) Tree Traversal (15) Brute Force (14) Bucket Sort (14) DP - Knapsack (14) DP - Probability (14) Difficult (14) Fast Power Algorithm (14) Pattern (14) Prefix Sum (14) TreeSet (14) Algorithm Videos (13) Amazon Interview (13) Basic Algorithm (13) Codechef (13) Combination (13) Computational Geometry (13) DP - Digit (13) LCA (13) LeetCode - DFS (13) Linked List (13) Long Increasing Sequence(LIS) (13) Math-Divisible (13) Reservoir Sampling (13) mitbbs (13) Algorithm - How To (12) Company - Microsoft (12) DP - Interval (12) DP - Multiple Relation (12) DP - Relation Optimization (12) LeetCode - Classic (12) Level Order Traversal (12) Prime (12) Pruning (12) Reconstruct Tree (12) Thinking (12) X Sum (12) AOJ (11) Bit Mask (11) Company-Snapchat (11) DP - Space Optimization (11) Dequeue (11) Graph DFS (11) MinMax (11) Miscs (11) Princeton (11) Quick Sort (11) Stack - Tree (11) 尺取法 (11) 挑战程序设计竞赛 (11) Coin Change (10) DFS+Backtracking (10) Facebook Hacker Cup (10) Fast Slow Pointers (10) HackerRank Easy (10) Interval Tree (10) Limited Range (10) Matrix - Traverse (10) Monotone Queue (10) SPOJ (10) Starting Point (10) States (10) Stock (10) Theory (10) Tutorialhorizon (10) Kadane - Extended (9) Mathblog (9) Max-Min Flow (9) Maze (9) Median (9) O(32N) (9) Quick Select (9) Stack Overflow (9) System Design (9) Tree - Conversion (9) Use XOR (9) Book Notes (8) Company-Amazon (8) DFS+BFS (8) DP - States (8) Expression (8) Longest Common Subsequence(LCS) (8) One Pass (8) Quadtrees (8) Traversal Once (8) Trie - Suffix (8) 穷竭搜索 (8) Algorithm Problem List (7) All Sub (7) Catalan Number (7) Cycle (7) DP - Cases (7) Facebook Interview (7) Fibonacci Numbers (7) Flood fill (7) Game Nim (7) Graph BFS (7) HackerRank Difficult (7) Hackerearth (7) Inversion (7) Kadane’s Algorithm (7) Manacher (7) Morris Traversal (7) Multiple Data Structures (7) Normalized Key (7) O(XN) (7) Radix Sort (7) Recursion (7) Sampling (7) Suffix Array (7) Tech-Queries (7) Tree - Serialization (7) Tree DP (7) Trie - Bit (7) 蓝桥杯 (7) Algorithm - Brain Teaser (6) BFS - Priority Queue (6) BFS - Unusual (6) Classic Data Structure Impl (6) DP - 2D (6) DP - Monotone Queue (6) DP - Unusual (6) DP-Space Optimization (6) Dutch Flag (6) How To (6) Interviewstreet (6) Knapsack - MultiplePack (6) Local MinMax (6) MST (6) Minimum Spanning Tree (6) Number - Reach (6) Parentheses (6) Pre-Sum (6) Probability (6) Programming Pearls (6) Rabin-Karp (6) Reverse (6) Scan from right (6) Schedule (6) Stream (6) Subset Sum (6) TSP (6) Xpost (6) n00tc0d3r (6) reddit (6) AI (5) Abbreviation (5) Anagram (5) Art Of Programming-July (5) Assumption (5) Bellman Ford (5) Big Data (5) Code - Solid (5) Code Kata (5) Codility-lessons (5) Coding (5) Company - WMware (5) Convex Hull (5) Crazyforcode (5) DFS - Multiple (5) DFS+DP (5) DP - Multi-Dimension (5) DP-Multiple Relation (5) Eulerian Cycle (5) Graph - Unusual (5) Graph Cycle (5) Hash Strategy (5) Immutability (5) Java (5) LogN (5) Manhattan Distance (5) Matrix Chain Multiplication (5) N Queens (5) Pre-Sort: Index (5) Quick Partition (5) Quora (5) Randomized Algorithms (5) Resources (5) Robot (5) SPFA(Shortest Path Faster Algorithm) (5) Shuffle (5) Sieve of Eratosthenes (5) Strongly Connected Components (5) Subarray Sum (5) Sudoku (5) Suffix Tree (5) Swap (5) Threaded (5) Tree - Creation (5) Warshall Floyd (5) Word Search (5) jiuzhang (5)

Popular Posts