{"slug": "k-means-clustering-diamonds-ipynb", "title": "K-Means Clustering Diamonds.ipynb", "summary": "A developer shared a Jupyter notebook applying K-Means clustering to a diamond dataset, demonstrating unsupervised machine learning techniques for data segmentation. The notebook, titled 'K-Means Clustering Diamonds.ipynb', illustrates the use of the K-Means algorithm to group diamonds based on features like carat, cut, color, and clarity. The project serves as an educational example of clustering in data science.", "body_md": "ml-final.ipynb\n\n \nLoading\n\nSorry, something went wrong. \nReload?\n\nSorry, we cannot display this file.\n\nSorry, this file is invalid so it cannot be displayed.\n\n      \n          Viewer requires iframe.", "url": "https://wpnews.pro/news/k-means-clustering-diamonds-ipynb", "canonical_source": "https://gist.github.com/xumadison/315083715f679641dc75573b33b353d0", "published_at": "2026-08-11 17:19:04+00:00", "updated_at": "2026-08-11 17:39:46.153674+00:00", "lang": "en", "topics": ["machine-learning"], "entities": [], "alternates": {"html": "https://wpnews.pro/news/k-means-clustering-diamonds-ipynb", "markdown": "https://wpnews.pro/news/k-means-clustering-diamonds-ipynb.md", "text": "https://wpnews.pro/news/k-means-clustering-diamonds-ipynb.txt", "jsonld": "https://wpnews.pro/news/k-means-clustering-diamonds-ipynb.jsonld"}}