Using the following dataset, using the k-nearest neighbor algorithm of the T(3,8,9) observation, determine the classes for k=1, 3 and 5 by weighted voting method and interpret the results. Note: Min-Max normalization will be applied.

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Using the following dataset, using the k-nearest neighbor algorithm of the T(3,8,9) observation, determine the classes for k=1, 3 and 5 by weighted voting method and interpret the results. Note: Min-Max normalization will be applied.

Observation X1
1
2
2
3
4
5
6
9
12
4
3
15
X2 X3 Class
9
6
Yes
16
No
19
No
4
O
3 8
6
9
22
6
Yes
Yes
No
Transcribed Image Text:Observation X1 1 2 2 3 4 5 6 9 12 4 3 15 X2 X3 Class 9 6 Yes 16 No 19 No 4 O 3 8 6 9 22 6 Yes Yes No
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