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Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

Intel® DAAL K-Means

Product Overview

K-Means is among the most popular and simplest clustering methods. It is intended to partition a data set into a small number of clusters such that feature vectors within a cluster have greater similarity with one another than with feature vectors from other clusters. Each cluster is characterized by a representative point, called a centroid, and a cluster radius.

Key Data

By Intel® AI
Type Algorithm
Fulfillment Methods Amazon SageMaker

Usage Information

Support Information

Intel® DAAL K-Means

Support information or contact information Intel® Data Analytics Acceleration Library (Intel® DAAL) provides a product web site that offers timely and comprehensive product information, including product features, white papers, and technical articles. Intel also provides a support web site that contains a rich repository of self help information, including getting started tips, known product issues, product errata, license information, user forums, and more (visit Registering your product entitles you to one year of technical support and product updates through priority support. The interactive issue management and communication support web site provides these services: Submit issues and review their status, Download product updates anytime of the day. To register your product, contact Intel, or seek product support, please visit

AWS Infrastructure

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Refund Policy

This product is offered for free. If there are any questions, please contact us for further clarifications.

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