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.
504
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 →

Employees41kRevenue$3.3MFinancial Services
K-Means ClusteringHigh confidence
Employees34kRevenue$18BManufacturing
K-Means ClusteringMedium confidence
Employees96kRevenue$79BTelecommunications
K-Means ClusteringMedium confidence
Employees4.3kBusiness Consulting and Services
K-Means ClusteringMedium confidence
Employees342IT Services and IT Consulting
K-Means ClusteringMedium confidence
Employees414Insurance
K-Means ClusteringMedium confidence
Employees5.1kFinancial Services
K-Means ClusteringMedium confidence
Employees3.7kRevenue$39MManufacturing
K-Means ClusteringMedium confidence
Employees1.3kIT Services and IT Consulting
K-Means ClusteringMedium confidence
Employees26kRevenue$6.9BFinancial Services
K-Means ClusteringLow confidence
Showing top companies out of 504 that implement K-Means Clustering. Get the full list on TheirStack.
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