https://github.com/nick8592/kmeans-clustering
K-means clustering is an algorithm that groups similar data points into a predetermined number of clusters by minimizing the sum of squared distances between data points and their cluster centroids.
https://github.com/nick8592/kmeans-clustering
color-space entropy histogram hog-features hough-transform image-classification image-clustering kmeans-clustering python
Last synced: about 1 month ago
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K-means clustering is an algorithm that groups similar data points into a predetermined number of clusters by minimizing the sum of squared distances between data points and their cluster centroids.
- Host: GitHub
- URL: https://github.com/nick8592/kmeans-clustering
- Owner: nick8592
- License: mit
- Created: 2023-05-08T08:39:48.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-05-07T06:19:20.000Z (12 months ago)
- Last Synced: 2025-01-30T08:20:36.797Z (3 months ago)
- Topics: color-space, entropy, histogram, hog-features, hough-transform, image-classification, image-clustering, kmeans-clustering, python
- Language: Python
- Homepage:
- Size: 48.7 MB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0