Let’s consider a scenario with an (m×n) 2D grid containing binary numbers, where '0' represents water and '1' represents land. If any '1' cells are connected to each other horizontally or vertically (not diagonally), they form an island. Your task is to return the total number of islands in the grid.
Constraints:
1≤ grid.length ≤50
1≤ grid[i].length ≤50
grid[i][j] is either '0' or '1'.
We can use the Union Find pattern to efficiently determine the number of disjoint sets (islands) and effectively merge them when they share a common land. We iterate through each cell of the given grid. If the cell is water,
Let’s consider a scenario with an (m×n) 2D grid containing binary numbers, where '0' represents water and '1' represents land. If any '1' cells are connected to each other horizontally or vertically (not diagonally), they form an island. Your task is to return the total number of islands in the grid.
Constraints:
1≤ grid.length ≤50
1≤ grid[i].length ≤50
grid[i][j] is either '0' or '1'.
We can use the Union Find pattern to efficiently determine the number of disjoint sets (islands) and effectively merge them when they share a common land. We iterate through each cell of the given grid. If the cell is water,