Understand how to count distinct islands in a binary matrix by recognizing connected land components without rotations or flips. Explore hash map applications to efficiently solve this pattern-based coding problem common in technical interviews.
Statement
Given an m x n binary matrix where 1 represents land and 0 represents water. An island is a group of connected 1s that are adjacent horizontally or vertically. Two islands are considered the same if one matches the other without rotating or flipping. The task is to return the number of distinct islands.
Constraints:
m == grid.length
n == grid[i].length
1≤m, n≤100
grid[i][j] is either 0 or 1.
Examples
1/ 4
Understand the problem
Let’s take a moment to make sure you’ve correctly understood the problem. The quiz below helps you check if you’re solving the problem correctly:
Number of Distinct Islands
1.
What is the count of the distinct islands in the following grid?
Understand how to count distinct islands in a binary matrix by recognizing connected land components without rotations or flips. Explore hash map applications to efficiently solve this pattern-based coding problem common in technical interviews.
Statement
Given an m x n binary matrix where 1 represents land and 0 represents water. An island is a group of connected 1s that are adjacent horizontally or vertically. Two islands are considered the same if one matches the other without rotating or flipping. The task is to return the number of distinct islands.
Constraints:
m == grid.length
n == grid[i].length
1≤m, n≤100
grid[i][j] is either 0 or 1.
Examples
1/ 4
Understand the problem
Let’s take a moment to make sure you’ve correctly understood the problem. The quiz below helps you check if you’re solving the problem correctly:
Number of Distinct Islands
1.
What is the count of the distinct islands in the following grid?