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
This is sourced from job postings — companies only hire for what they actively use or plan to adopt · how we source this →
| 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 | Software Development | 10k | $125M | K-Means Clustering | |
United States | Advertising Services | 3.3k | $600M | K-Means Clustering | |
United Kingdom | Advertising Services | 10k | $445M | K-Means Clustering | |
United Kingdom | Financial Services | 2k | $900M | K-Means Clustering | |
Switzerland | Motor Vehicle Manufacturing | 180k | $17B | K-Means Clustering | |
France | IT Services and IT Consulting | 5.8k | $201M | K-Means Clustering | |
India | IT Services and IT Consulting | 710k | $27B | K-Means Clustering | |
Malta | Gambling Facilities and Casinos | 217 | K-Means Clustering |
Showing top companies out of 455 that implement K-Means Clustering. Get the full list on TheirStack.
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