Skip to main content

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.

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 →

  • USAA logo
    United StatesEmployees41kRevenue$3.3MFinancial Services
    K-Means ClusteringHigh confidence
  • Colgate-Palmolive logo
    United StatesEmployees34kRevenue$18BManufacturing
    K-Means ClusteringMedium confidence
  • T-Mobile logo
    United StatesEmployees96kRevenue$79BTelecommunications
    K-Means ClusteringMedium confidence
  • Milliman logo
    United StatesEmployees4.3kBusiness Consulting and Services
    K-Means ClusteringMedium confidence
  • Milliman IntelliScript logo
    United StatesEmployees342IT Services and IT Consulting
    K-Means ClusteringMedium confidence
  • Fetch Pet Insurance logo
    United StatesEmployees414Insurance
    K-Means ClusteringMedium confidence
  • Wintrust Financial Corporation logo
    United StatesEmployees5.1kFinancial Services
    K-Means ClusteringMedium confidence
  • Hill's Pet Nutrition logo
    United StatesEmployees3.7kRevenue$39MManufacturing
    K-Means ClusteringMedium confidence
  • System Soft Technologies logo
    United StatesEmployees1.3kIT Services and IT Consulting
    K-Means ClusteringMedium confidence
  • Navy Federal Credit Union logo
    United StatesEmployees26kRevenue$6.9BFinancial Services
    K-Means ClusteringLow confidence

Showing top companies out of 504 that implement K-Means Clustering. Get the full list on TheirStack.

Frequently asked questions