Companies implementing K-Means Clustering
K-Means Clustering is an unsupervised machine‑learning method that splits an unlabeled data set into k separate, non‑overlapping groups by assigning points to the nearest centroid, typically using Euclidean distance, and minimizing the total distance within clusters.
455
companies
List of companies that implement K-Means Clustering
| Company | Country | Industry | Employees | Revenue | Technologies |
|---|---|---|---|---|---|
United States | Financial Services | 40k | $3.3M | K-Means Clustering | |
United States | Manufacturing | 34k | $18B | K-Means Clustering | |
United States | Business Consulting and Services | 142k | $3.5B | K-Means Clustering | |
United States | Software Development | 10k | $125M | K-Means Clustering | |
United Kingdom | Advertising Services | 10k | $445M | K-Means Clustering | |
United Kingdom | Pharmaceutical Manufacturing | 79k | K-Means Clustering | ||
United States | Advertising Services | 3.2k | $600M | K-Means Clustering | |
United Kingdom | Financial Services | 194k | K-Means Clustering | ||
United States | Software Development | 1.2k | K-Means Clustering | ||
United States | Financial Services | 25k | $6.9B | K-Means Clustering |
Showing top companies out of 455 that implement K-Means Clustering. Get the full list on TheirStack.
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