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.
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.
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