The model usage time of k-nearest neighbor method is sensitive to the dataset size (i. amount of training/stored data). When the dataset is large, the model usage time could be prohibitively long. Suggest TWO reasonable ways to reduce the required large amount of similarity computation and comment on their effectiveness.

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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The model usage time of k-nearest neighbor method is sensitive to the dataset size (i.e.
amount of training/stored data). When the dataset is large, the model usage time could be
prohibitively long. Suggest TWO reasonable ways to reduce the required large amount of
similarity computation and comment on their effectiveness.
Transcribed Image Text:The model usage time of k-nearest neighbor method is sensitive to the dataset size (i.e. amount of training/stored data). When the dataset is large, the model usage time could be prohibitively long. Suggest TWO reasonable ways to reduce the required large amount of similarity computation and comment on their effectiveness.
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