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

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

Business Consulting and Services

142k

$3.5B

K-Means Clustering

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United States

Software Development

10k

$125M

K-Means Clustering

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United Kingdom

Advertising Services

10k

$445M

K-Means Clustering

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United Kingdom

Pharmaceutical Manufacturing

79k

K-Means Clustering

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United States

Advertising Services

3.2k

$600M

K-Means Clustering

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United Kingdom

Financial Services

194k

K-Means Clustering

Country flag

United States

Software Development

1.2k

K-Means Clustering

Country flag

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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