diff --git a/DataStructureAndAlgorithms/src/com/tree/Kruskal.java b/DataStructureAndAlgorithms/src/com/tree/Kruskal.java
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+// Java program for Kruskal's algorithm to
+// find Minimum Spanning Tree of a given
+//connected, undirected and weighted graph
+import java.util.*;
+import java.lang.*;
+import java.io.*;
+
+class Graph {
+	// A class to represent a graph edge
+	class Edge implements Comparable<Edge>
+	{
+		int src, dest, weight;
+
+		// Comparator function used for
+		// sorting edgesbased on their weight
+		public int compareTo(Edge compareEdge)
+		{
+			return this.weight - compareEdge.weight;
+		}
+	};
+
+	// A class to represent a subset for
+	// union-find
+	class subset
+	{
+		int parent, rank;
+	};
+
+	int V, E; // V-> no. of vertices & E->no.of edges
+	Edge edge[]; // collection of all edges
+
+	// Creates a graph with V vertices and E edges
+	Graph(int v, int e)
+	{
+		V = v;
+		E = e;
+		edge = new Edge[E];
+		for (int i = 0; i < e; ++i)
+			edge[i] = new Edge();
+	}
+
+	// A utility function to find set of an
+	// element i (uses path compression technique)
+	int find(subset subsets[], int i)
+	{
+		// find root and make root as parent of i
+		// (path compression)
+		if (subsets[i].parent != i)
+			subsets[i].parent
+				= find(subsets, subsets[i].parent);
+
+		return subsets[i].parent;
+	}
+
+	// A function that does union of two sets
+	// of x and y (uses union by rank)
+	void Union(subset subsets[], int x, int y)
+	{
+		int xroot = find(subsets, x);
+		int yroot = find(subsets, y);
+
+		// Attach smaller rank tree under root
+		// of high rank tree (Union by Rank)
+		if (subsets[xroot].rank
+			< subsets[yroot].rank)
+			subsets[xroot].parent = yroot;
+		else if (subsets[xroot].rank
+				> subsets[yroot].rank)
+			subsets[yroot].parent = xroot;
+
+		// If ranks are same, then make one as
+		// root and increment its rank by one
+		else {
+			subsets[yroot].parent = xroot;
+			subsets[xroot].rank++;
+		}
+	}
+
+	// The main function to construct MST using Kruskal's
+	// algorithm
+	void KruskalMST()
+	{
+		// Tnis will store the resultant MST
+		Edge result[] = new Edge[V];
+	
+		// An index variable, used for result[]
+		int e = 0;
+	
+		// An index variable, used for sorted edges
+		int i = 0;
+		for (i = 0; i < V; ++i)
+			result[i] = new Edge();
+
+		// Step 1: Sort all the edges in non-decreasing
+		// order of their weight. If we are not allowed to
+		// change the given graph, we can create a copy of
+		// array of edges
+		Arrays.sort(edge);
+
+		// Allocate memory for creating V ssubsets
+		subset subsets[] = new subset[V];
+		for (i = 0; i < V; ++i)
+			subsets[i] = new subset();
+
+		// Create V subsets with single elements
+		for (int v = 0; v < V; ++v)
+		{
+			subsets[v].parent = v;
+			subsets[v].rank = 0;
+		}
+
+		i = 0; // Index used to pick next edge
+
+		// Number of edges to be taken is equal to V-1
+		while (e < V - 1)
+		{
+			// Step 2: Pick the smallest edge. And increment
+			// the index for next iteration
+			Edge next_edge = edge[i++];
+
+			int x = find(subsets, next_edge.src);
+			int y = find(subsets, next_edge.dest);
+
+			// If including this edge does't cause cycle,
+			// include it in result and increment the index
+			// of result for next edge
+			if (x != y) {
+				result[e++] = next_edge;
+				Union(subsets, x, y);
+			}
+			// Else discard the next_edge
+		}
+
+		// print the contents of result[] to display
+		// the built MST
+		System.out.println("Following are the edges in "
+						+ "the constructed MST");
+		int minimumCost = 0;
+		for (i = 0; i < e; ++i)
+		{
+			System.out.println(result[i].src + " -- "
+							+ result[i].dest
+							+ " == " + result[i].weight);
+			minimumCost += result[i].weight;
+		}
+		System.out.println("Minimum Cost Spanning Tree "
+						+ minimumCost);
+	}
+
+	// Driver Code
+	public static void main(String[] args)
+	{
+
+		/* Let us create following weighted graph
+				10
+			0--------1
+			| \	 |
+		6| 5\ |15
+			|	 \ |
+			2--------3
+				4	 */
+		int V = 4; // Number of vertices in graph
+		int E = 5; // Number of edges in graph
+		Graph graph = new Graph(V, E);
+
+		// add edge 0-1
+		graph.edge[0].src = 0;
+		graph.edge[0].dest = 1;
+		graph.edge[0].weight = 10;
+
+		// add edge 0-2
+		graph.edge[1].src = 0;
+		graph.edge[1].dest = 2;
+		graph.edge[1].weight = 6;
+
+		// add edge 0-3
+		graph.edge[2].src = 0;
+		graph.edge[2].dest = 3;
+		graph.edge[2].weight = 5;
+
+		// add edge 1-3
+		graph.edge[3].src = 1;
+		graph.edge[3].dest = 3;
+		graph.edge[3].weight = 15;
+
+		// add edge 2-3
+		graph.edge[4].src = 2;
+		graph.edge[4].dest = 3;
+		graph.edge[4].weight = 4;
+
+		// Function call
+		graph.KruskalMST();
+	}
+}
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