Disjoint Set (Union-Find)
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What is Disjoint Set (Union-Find)?
A disjoint-set data structure, also called a union-find data structure or merge-find set, is a data structure that tracks a partition of a set into numerous non-overlapping subsets. It provides near-constant-time operations to add new sets, to merge existing sets, and to determine whether elements are in the same set. The underlying algorithm uses two main techniques, Union by Rank and Path Compression, to achieve the efficient time complexity. Each element is represented as a node, and each group of disjoint sets forms a tree structure. Disjoint sets are useful in multitude of graph algorithms like Kruskal’s algorithm and many more.
More in stage 11: Advanced Data Structures
- Advanced Data Structures
- Trie
- Segment Trees
- Fenwick Trees
- Suffix Trees and Arrays
- Binary Trees
- Tree Traversal
- Search Algorithms
- Binary Search Trees
- In-Order Traversal
- Breadth First Search
- AVL Trees
- Pre-Order Traversal
- Depth First Search
- B-Trees
- Heap
- Post-Order Traversal
- Search Algorithms
- Breadth First Search
- Depth First Search
- Shortest Path Algorithms
- Dijkstra's Algorithm
- Bellman-Ford Algoritm
- A* Algorithm
- Minimum Spanning Tree
- Prim's Algorithm
- Kruskal's Algorithm
Disjoint Set (Union-Find): common questions
Can I learn Disjoint Set (Union-Find) in Hindi?
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Is this Disjoint Set (Union-Find) tutorial for beginners?
It is lesson 56 of 107 in the free Data Structures & Algorithms roadmap, in stage 11, Advanced Data Structures. If you are new to Data Structures & Algorithms, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.