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Arrange the steps executed in the k-nearest neighbor classification algorithm.

Arrange the steps executed in the k-nearest neighbor classification algorithm.

Database System Concepts
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
Section: Chapter Questions
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Arrange the steps executed in the k-nearest neighbor classification algorithm.

 

 

 

 

Question 4 Arrange the steps executed in the k-nearest neighbor classification algorithm. Step 1 Step 2 Step 3 Step 4 [Choose ] [Choose ] [Choose ] [Choose ] [Choose ] Scale measures to rescale the feature to have a zero mean and unit variance. Identify the number of k-nearest neighbors to use. Compute distance between two points (e.g., Euclidean distance). Determine the class from the k-nearest neighbors by taking the majority vote of class labels among the k-nearest neighbors.
Transcribed Image Text:Question 4 Arrange the steps executed in the k-nearest neighbor classification algorithm. Step 1 Step 2 Step 3 Step 4 [Choose ] [Choose ] [Choose ] [Choose ] [Choose ] Scale measures to rescale the feature to have a zero mean and unit variance. Identify the number of k-nearest neighbors to use. Compute distance between two points (e.g., Euclidean distance). Determine the class from the k-nearest neighbors by taking the majority vote of class labels among the k-nearest neighbors.
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