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Product Overview
k-Nearest Neighbors (kNN) classification is a non-parametric classification algorithm. The model of the kNN classifier is based on feature vectors and class labels from the training data set. This classifier induces the class of the query vector from the labels of the feature vectors in the training data set to which the query vector is similar. A similarity between feature vectors is determined by the type of distance (for example, Euclidian) in a multidimensional feature space. For more info: https://intelpython.github.io/daal4py/algorithms.html#k-nearest-neighbors-knn
Key Data
| Version | |
| By | Intel® AI |
| Categories | |
| Type | Algorithm |
| Fulfillment Methods | Amazon SageMaker
|
Usage Information
Fulfillment Methods
Amazon SageMaker
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Support Information
Intel® DAAL k-Nearest Neighbors (kNN)
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. For the latest information, check: http://www.intel.com/software/products/support. 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 http://www.intel.com/software/products/). 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 http://www.intel.com/software/products/support.
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