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 →

CompanyCountryIndustryEmployeesRevenueTechnologies
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United States

Financial Services

40k

$3.3M

K-Means Clustering

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United States

Manufacturing

34k

$18B

K-Means Clustering

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United States

Software Development

10k

$125M

K-Means Clustering

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United States

Advertising Services

3.3k

$600M

K-Means Clustering

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United Kingdom

Advertising Services

10k

$445M

K-Means Clustering

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United Kingdom

Financial Services

2k

$900M

K-Means Clustering

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Switzerland

Motor Vehicle Manufacturing

180k

$17B

K-Means Clustering

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France

IT Services and IT Consulting

5.8k

$201M

K-Means Clustering

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India

IT Services and IT Consulting

710k

$27B

K-Means Clustering

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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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