SO can someone explain in a short concise response what KNN is & its implementation?

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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SO can someone explain in a short concise response what KNN is & its implementation?

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Step 1: K-Nearest Neighbors:

K-Nearest Neighbors is a straightforward and versatile algorithm that makes predictions based on the similarity of data points in a training dataset. It's a good starting point for many machine learning tasks but has its limitations, especially in high-dimensional and noisy data scenarios. Proper tuning of the hyperparameter K and careful preprocessing of data are essential for its success.

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