https://github.com/rajithashok/pen-digitrecognitionusing_k-means

Pen-digit recognition using K-Means clustering is a powerful and efficient technique for recognizing handwritten digits. This technique is widely used in various applications such as character recognition, handwriting recognition, and handwriting analysis.
https://github.com/rajithashok/pen-digitrecognitionusing_k-means

data-mining ipynb pandas seaborn

Last synced: 2 days ago
JSON representation

Pen-digit recognition using K-Means clustering is a powerful and efficient technique for recognizing handwritten digits. This technique is widely used in various applications such as character recognition, handwriting recognition, and handwriting analysis.

• Host: GitHub
• URL: https://github.com/rajithashok/pen-digitrecognitionusing_k-means
• Owner: RajithAshok
• Created: 2023-01-10T15:07:20.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-01-11T14:31:39.000Z (almost 2 years ago)
• Last Synced: 2024-11-13T08:41:15.660Z (2 days ago)
• Topics: data-mining, ipynb, pandas, seaborn
• Language: Jupyter Notebook
• Homepage:
• Size: 656 KB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Pen-DigitRecognitionUsing_K-Means

Pen-digit recognition using K-Means clustering is a powerful and efficient technique for recognizing handwritten digits. This technique is widely used in various applications such as character recognition, handwriting recognition, and handwriting analysis.