Huffman Algorithm |

This video is uploaded for educational purposes. In this video, many new things are kept in view to elaborate the title in an easy way. Learning within few minutes. You will know about the latest technologies such as the Huffman Algorithm.
The Huffman algorithm is a lossless data compression algorithm that assigns variable-length codes to input characters based on their frequency of occurrence. The most frequent characters are assigned the shortest codes, while the least frequent characters are assigned longer codes. This results in efficient compression of data.
Here's a step-by-step explanation of the Huffman algorithm:
1. Calculate the frequency of each character in the input data.
2. Create a priority queue (min-heap) containing the characters and their frequencies.
3. While the queue has more than one node:
- Remove the two nodes with the lowest frequency (highest priority).
- Create a new internal node with a frequency equal to the sum of the two removed nodes.
- Add the new node to the queue.
4. Assign codes to the characters based on their position in the binary tree:
- Left child: 0
- Right child: 1
5. Traverse the tree from the root to each leaf node, concatenating the codes to form the Huffman code for each character.
The Huffman algorithm is widely used in various applications, including:
- Text compression (e.g., ZIP, GIF, PDF)
- Image compression (e.g., JPEG)
- Video compression (e.g., MPEG)
- Data compression in networking and storage
The algorithm's efficiency and effectiveness make it a fundamental technique in data compression and information theory.

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