Question
COURSE : Data Mining K-Nearest Neighbor is a classification algorithm that determines the class based on the closest distance between sample that will be classified
COURSE : Data Mining
K-Nearest Neighbor is a classification algorithm that determines the class based on the closest distance between sample that will be classified to the training data sample.
a. Explain how this method works
b. Why is it recommended to choose an odd number for k values?
c. What is the reason k-Nearest Neighbor is called a lazy learner?
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Refactoring Databases Evolutionary Database Design
Authors: Scott Ambler, Pramod Sadalage
1st Edition
0321774515, 978-0321774514
